Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: aghermann Version: 1.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1631 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.11), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls30 (>= 3.5.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.21.5), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpcre2-8-0, libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), libvte-2.91-0, zlib1g (>= 1:1.1.4) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.1.2-1~nd+1_i386.deb Size: 571746 SHA256: 0997877f16600f09b820dd0b802ffe9b9cdaaa500d480afb7c2a8fd11566a3db SHA1: 332296ac6774831f95664b7aa0ec7efda0c5e92c MD5sum: 0809d12793875c9d7d81f2d952668984 Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: aghermann-dbgsym Source: aghermann Version: 1.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11553 Depends: aghermann (= 1.1.2-1~nd+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.1.2-1~nd+1_i386.deb Size: 11568514 SHA256: f76c6142c765113ac9acef4284b1ac52a514dc1092e3eefd579c3fe379077b53 SHA1: 98130e103ac3dac96256b5be2d91f0ba3d3b01cc MD5sum: fda06fc603d63fea1687f617c154c7d0 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 457dcc561953b60c040c6e4028d596b6a8b51d22 62628ffebcc59493171ae9a3728eeabffde70d68 68781bf159159c3565bb370cde3645a7d21b4c9c 8f11d08297140adba17c5ea0e4d05e3c40164fcb a2b4c6d5b95d005f28623308600ab8c095906869 aee2325d94acc93401b4219807d95e58920d4fa3 c3e1fec8adca0043392bb748dbbb9df180cfa3a7 c7627dbb9bb55c993051cce646b67dbea9a8dd88 Package: ants Version: 2.2.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 309694 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.0), libinsighttoolkit4.10, libstdc++6 (>= 5.2) Recommends: environment-modules Suggests: fsl, gridengine-client, r-base-core Conflicts: gpe-conf Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_2.2.0-1~nd+1_i386.deb Size: 40384654 SHA256: 37fc8a6ef5346295cebf87da3f6092df595bf90c60c88280539b01f3a7767aab SHA1: 3dc76dfe948a811da2e77264e900bffeee32bb57 MD5sum: 3b5b23145ea6e6d952a6c65eb95277bc Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). . This package provides environment-modules configuration. Use 'module load ants' to make all cmdline tools available in your shell. 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Filename: pool/main/a/arno-iptables-firewall/arno-iptables-firewall_1.9.2.k-3~sid.nd1_all.deb Size: 132466 SHA256: f27127b8c1dc917c0286a9387f8fa457376ded10b07a5908485636c27a2a14ff SHA1: 696de58c79bec6fd3efa3cf7dbbeecaa18d1ea8e MD5sum: da7a5641d17921fad83cbb534f2ebb22 Description: single- and multi-homed firewall script with DSL/ADSL support Unlike other lean iptables frontends in Debian, arno-iptables-firewall will setup and load a secure, restrictive firewall by just asking a few question. This includes configuring internal networks for internet access via NAT and potential network services (e.g. http or ssh). . However, it is in no way restricted to this simple setup. Some catch words of additional features, that can be enabled in the well documented configuration file are: DSL/ADSL, Port forwarding, DMZ's, portscan detection, MAC address filtering. Package: asciidoctor Version: 1.5.7.1-1~nd~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd+1_i386.deb Size: 64168 SHA256: 8b14d8b42ef1004c51ff9875931719cf3ce3beeed4c8d0f8a8e5396e851d8cc9 SHA1: f7c2ef06133811955dc8087c5dd08a6901ace23d MD5sum: a26403e7183253b36ec5ccc6ab29998d Description: AsciiDoc to HTML rendering for Ruby Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. Package: asciidoctor-doc Source: asciidoctor Version: 1.5.7.1-1~nd~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3305 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: asciidoctor Homepage: http://asciidoctor.org Priority: optional Section: doc Filename: pool/main/a/asciidoctor/asciidoctor-doc_1.5.7.1-1~nd~nd+1_all.deb Size: 347036 SHA256: 8d8d4b0a0333642a5c2ab6a8c343e10869fd55b0861cb6a6849e2d3adfb1c31c SHA1: 8cb6fb1ddd0152139b7c4c2d97db096d5d8b851b MD5sum: a80fe264a61e8337cd7f8a297aa0cda5 Description: AsciiDoc to HTML rendering for Ruby (documentation) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the documentation for asciidoctor. Package: bats Version: 1.8.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: devel Filename: pool/main/b/bats/bats_1.8.0-3~nd+1_all.deb Size: 47928 SHA256: 912478ffa284242f4fac37029497d19bf053fc9a3569b0cb15367fca7da62490 SHA1: 2216425c07103441e564d01bc07b4d48d2c6a049 MD5sum: f2ffc002a87324c160b4222e8aacbf51 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: bats-assert Version: 2.1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 57 Depends: neurodebian-popularity-contest, bats-support Enhances: bats Multi-Arch: foreign Homepage: https://github.com/bats-core/bats-assert Priority: optional Section: devel Filename: pool/main/b/bats-assert/bats-assert_2.1.0-1~nd+1_all.deb Size: 8964 SHA256: 2af6f15943ff82f0b75fa0be3aaa128b00042f55c4cbb8f9b1c94dc172a3df02 SHA1: b2833933577f4d984b8a39f3968b9cfdb9647b53 MD5sum: 44bdf53c12b4dfee53237ebcba4c9f09 Description: Helper library providing common assertions for Bats bats-assert provides various ready-made assertions that can be used to make Bats tests simpler to understand and to debug. . For example: . * assert_success: exit status is 0. * assert_output: output contains given content. * assert_line: a specific line of output contains given content. Package: bats-file Version: 0.3.0+git20230131-gbba751f-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, bats-support Enhances: bats Multi-Arch: foreign Homepage: https://github.com/bats-core/bats-file Priority: optional Section: devel Filename: pool/main/b/bats-file/bats-file_0.3.0+git20230131-gbba751f-1~nd+1_all.deb Size: 7160 SHA256: d512a93320a5f357abac156cd7bd9b325e879a065e907b94fc290d497f79525f SHA1: a7f0cfa866454788ae3c8222f9f3d98134a8963e MD5sum: a2948d86c91eb6fec698bdfe29d5082c Description: Helper library providing filesystem-related assertions for Bats bats-file provides various assertions and helpers to simplify writing Bats tests that deal with files and filesystems. . For example: . * assert_file_contains: Check if the file content matches a regex. * assert_file_owner: Check if a specific user owns the file. * assert_symlink_to: Check if the file is a symlink to the target. * temp_make: Create a temp directory for the current test in BATS_TMPDIR. Package: bats-support Version: 0.3.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://github.com/bats-core/bats-support Priority: optional Section: libdevel Filename: pool/main/b/bats-support/bats-support_0.3.0-2~nd+1_all.deb Size: 5928 SHA256: 61a556dbf27c0d1b539ff83745448a982d011eeb4efbb4d246d10fbf822dcedf SHA1: 032c9089eb90d78f0ea0e0c77795ae3dad41925a MD5sum: a989fba872b8db2d7b70698fe6942b7b Description: Supporting library to test bats helper libraries bats-support is a supporting library providing common functions to test helper libraries written for Bats. . Features: . * error reporting * output formatting * language tools Package: biosig-tools Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 685 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd+1_i386.deb Size: 247988 SHA256: 1d439dd296ac281eef5ef2c8238ade1056486eb75edce8c4b0516ce7f0bcd37a SHA1: 569c3f635e6bb5171a99ae9d3a976f3cfbdc09fd MD5sum: aebfad1b8ed18e1a2c7072d800e70057 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.32.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 405 Depends: neurodebian-popularity-contest, perl, btrfs-progs Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.32.5-1~nd+1_all.deb Size: 115928 SHA256: 00a59eaf51b7b3a787cb81f200e39df7ec848eaff6248a0b2744b775dcc23f13 SHA1: 197a11a7bb42259099b0e54d1ea132f5e40a35a3 MD5sum: 3eabb5708a1586113daeba64895a70e0 Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: btrfs-tools Version: 4.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3623 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.42), libblkid1 (>= 2.17.2), libc6 (>= 2.8), libcomerr2 (>= 1.01), liblzo2-2, libuuid1 (>= 2.16), zlib1g (>= 1:1.2.0) Homepage: http://btrfs.wiki.kernel.org/ Priority: optional Section: admin Filename: pool/main/b/btrfs-tools/btrfs-tools_4.1.2-1~nd+1_i386.deb Size: 529008 SHA256: 0724205c72e463a8ae0fdc812a11d5eef393ad31a23fb7e13d71a76140db6238 SHA1: cb61d1901b5dbbe76453cb151f252de8494e0bb5 MD5sum: a497ca48eb2835d8b08186d105d62893 Description: Checksumming Copy on Write Filesystem utilities Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains utilities (mkfs, fsck) used to work with btrfs and an utility (btrfs-convert) to make a btrfs filesystem from an ext3. Package: btrfs-tools-dbg Source: btrfs-tools Version: 4.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4762 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.1.2-1~nd+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.1.2-1~nd+1_i386.deb Size: 3856014 SHA256: 3203916c229b900ea27793fe5b575b206eabb750f51a6e5dc8310fb799f95d6f SHA1: 037f17ecdb02d3c469119bf81e332427f3f4d99d MD5sum: b950952e081161326cfab8073c4befe1 Description: Checksumming Copy on Write Filesystem utilities (debug) Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains the debugging symbols. Build-Ids: 17289c5556ecc99ca538d38f5b854a3f00ffadd6 27e298802ef233f0a17f68b887088c49a888583d 7058ca3a435b2e66a7df04286430366772af4ae7 8cce2e03d712925ca3f859c3f374ea72c7903a07 a78ea8f127c58daf5bf725bda3fbe3823ab3460b b3e6d24672a380487b74547cf5d78579223634e2 c5e77a75b9d5a5bc61a50d4596dea2f68154b4a9 c84a7b4593b1124db198d07ae0ed0eb5e5d2c719 cff09b5b7109fa415de286fb31001a98faae8465 e7739a71e21e201d362cd3d94a1b431769d1b40f e7c01cdc07ab6adc9c40ce91ef77849cd0fbaf16 eecedc61b8c9d07eb9c48300c426bb5b6ff30383 f19eef4d3a11302f4d5a2076b2e781ece02151fa Package: caret Version: 5.6.4~dfsg.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18495 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libminc2-1, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, zlib1g (>= 1:1.2.3.3) Recommends: qt-assistant-compat Suggests: caret-data (>= 5.6.2~dfsg.1~) Homepage: http://brainvis.wustl.edu/wiki/index.php/Caret:About Priority: optional Section: science Filename: pool/main/c/caret/caret_5.6.4~dfsg.1-2~nd+1_i386.deb Size: 7452630 SHA256: 8cea5e8614e6aea6b49fdfcba746054592f571157b938228ef4097628898a48e SHA1: 3d8ed30b1e4a9c5759d8e8b369400fcb0d1f1b47 MD5sum: 0078abfcf89b7295fe53c32e338ea582 Description: Computerized Anatomical Reconstruction and Editing Toolkit This software allows for creating, viewing and manipulating surface reconstructions of the cerebral and cerebellar cortex, viewing volumes and for displaying experimental data on the surfaces and volumes. While Caret is primarily a GUI application with 'caret_command' there is also a versatile command line tool, that allows access to a substantial proportion of Caret's functionality. . Caret can download and use stereotaxic atlases (human, monkey, mouse and rat) from an open online database. . Some functionality of Caret is only available when additional data files, provided by the caret-data package, are available. This includes: . - Map volumes to surface via PALS atlas - Multi-resolution morphing - Projection of foci via PALS atlas - Surface-based registration - Surface flattening . Currently the caret-data package is only available from the NeuroDebian repository. Please see http://neuro.debian.net for more information. Package: cde Version: 0.1+git9-g551e54d-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 803 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd+1_i386.deb Size: 138650 SHA256: 4657cad25a469a52f15ea069b82ce2c2d2d44edbfe010dee332d244bb755dc13 SHA1: 55eeec470bbd37a754373669abcb2928bae69bfd MD5sum: bdc06fadac6b0ad8dbb6195013d2a00c Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd+1_i386.deb Size: 63578 SHA256: a1b7537de1aefbeab25d571bcac974ba9ff947f23bf54c6c786069b8b123ca02 SHA1: 38a354374bffa7541ccec3a3617c92fd935e5da5 MD5sum: d3c65a8e5cdf28dd482fe0a751e548f9 Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 3.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24324 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk8, libfftw3-double3, libgcc1 (>= 1:4.2), libgomp1 (>= 4.9), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_3.3.1-1~nd+1_i386.deb Size: 3781484 SHA256: 54f17a2ac893ff2b0f1a82fa0a517acac80bad768b55e19999e008481210ce19 SHA1: 62ce8ed1cdc68f6bc631ea7ea1afc1b4d84af0f2 MD5sum: ff67c68c644118ab3064f5492f98fcde Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cmtk-dbgsym Source: cmtk Version: 3.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10750 Depends: cmtk (= 3.3.1-1~nd+1) Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: debug Filename: pool/main/c/cmtk/cmtk-dbgsym_3.3.1-1~nd+1_i386.deb Size: 988722 SHA256: 46574f4c0cb8185f1768b1d16e6604d9cffed878264507dfdec069c7bb64791e SHA1: 75fc061416b664328a15e172cf051b0e1337ea02 MD5sum: d97e9f90fca0fd535ccc193b803b7c63 Description: Debug symbols for cmtk Auto-Built-Package: debug-symbols Build-Ids: 012ad698f7307425a0e90cd25391b30e6fcdc351 02b7c1f37ca92cf36be67143d1bc165ec9532be4 02cf0b1af6dfdbada207342ec74b3fa04ed6e514 0935ddfafcabf9ad8234cdad721077a80e4c4f8f 0a9447b1e78f0e4a3a8264198c62d625f2465ea6 0b68247f038f9abfede3265364063c4ac99f69fb 0cc15341d17870af826edca04f86ad40023c63e8 0f7c5233343f777988f5d113a6a48510b7cad189 11eb1dc70895d8974277e98241512f77c2531399 152b9e49096738c7ff9621d0a93463c99eb437f2 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dea41975fb8f9e14fef3d9c785b5333f0c301275 e51bc2310928412e9322ff4b2d23e6427794734c e7f1a6b3e8c44e9ec7f6099d14be16bf16fef339 e8008cb12df56b65ef0d2df06104ef459fa3172a e801f4a542690822c807511658962e9a3ab1e9dc e89058deb81b3676af84995c76b98b9fb8aca9ad ecf9b625949efaf6c575158a7cd1beefd8d178da f01dd95d44889892de91c34c275c995aff4c7503 f1fb2fc54f37fe8ef10fe2e9874b7bfb54d6579a f4f85f0e5acee60fd4643af2ca209caab70f60e6 f637e7f5767b881f765d209363abbf8d5b7d7e3d f7195052bb657d9a10d3daefb4b7eaa1ed75e1a3 f83c85c20011808f7d51660d8de7f0386f8792c1 fe994830b1f256028eba3b06ec272c1ac941d96c Package: cnrun Version: 1.1.14-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libreadline6 (>= 6.0), libstdc++6 (>= 4.6), libxml2 (>= 2.6.27) Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun_1.1.14-1~nd+1_i386.deb Size: 99212 SHA256: db6ec0d1ba14145a4c2747fc4e5b933dc786fcac75b2f388efb8c04784c93668 SHA1: 0a396a01504e089c1a8fbf18253cc78b73596e5d MD5sum: d39874b89fe2b4ef52d7c6c6e001ba1a Description: NeuroML-capable neuronal network simulator CNrun is a neuronal network model simulator, similar in purpose to NEURON except that individual neurons are not compartmentalised. It can read NeuroML files (e.g., as generated by neuroConstruct); provides a Hodgkin-Huxley neuron (plus some varieties), a Rall and Alpha-Beta synapses, Poisson, Van der Pol, Colpitts oscillators and regular pulse generator; external inputs and logging state variables. Uses a 6-5 Runge-Kutta integration method. Basic scripting and (if run interactively) context-aware autocompletion. Package: cnrun-tools Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.6.27) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd+1_i386.deb Size: 21994 SHA256: 9392ae6f8bf21599b645945c3c5f5c23ade34577bf52c7f7b45dffc34dd3def9 SHA1: 29abd49bbeece61710b60b955749874dce312a7b MD5sum: edd8cff2dab86b6b6cf5dd8e09132d22 Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: cnrun-tools-dbgsym Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 123 Depends: cnrun-tools (= 2.1.0-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/cnrun-tools-dbgsym_2.1.0-1~nd+1_i386.deb Size: 100190 SHA256: 2e16cf98e8bb6e5144dd724ed9c9c496d9492023f57418b76b6b15855c7ae335 SHA1: 76f89935e506ac2980ae840f894aceedcb53feeb MD5sum: f32353dd445df337b094000a5eff492b Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: a16e9256d11ef24b2ad75e132b2859bd95571b25 b6781a87af9001e470f4b35a55205873f8bea15d Package: con-duct Version: 0.8.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, procps, python3:any Recommends: python3-matplotlib Homepage: https://github.com/con/duct/ Priority: optional Section: python Filename: pool/main/c/con-duct/con-duct_0.8.0-1~nd+1_all.deb Size: 20604 SHA256: 152815b422b54e855b137c3d6efd66fed66299588f8c699e83d57d3f4d709d62 SHA1: cd154c5c96226f280aa3121815b2aad9b460cbd2 MD5sum: 1453a9ad24155fe2708a9ac245899095 Description: lightweight wrapper to collect execution data for a command con-duct provides a duct command which is a lightweight wrapper that collects execution data for an arbitrary command. Execution data includes execution time, system information, and resource usage statistics of the command and all its child processes. It is intended to simplify the problem of recording the resources necessary to execute a command, particularly in an HPC environment. . Resource usage is determined by polling (at a sample-interval). During execution, duct produces a JSON lines file with one data point recorded for each report (at a report-interval). . This package installs the Python library and command-line tools. Package: condor Version: 8.4.9~dfsg.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.4.9~dfsg.1-2~nd+1_all.deb Size: 16196 SHA256: 0df170fb5cfeab10ad871bc3238b09a8d519b8f6d1cbcde8c62cf10f2b2b67ef SHA1: 1894f7b63cde9fcbdbecccde5d330c73d67e6dcb MD5sum: a83f38ecd6537a2e586cef6b133d5ea6 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. 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Package: condor-doc Source: condor Version: 8.4.9~dfsg.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.4.9~dfsg.1-2~nd+1_all.deb Size: 16212 SHA256: 605c57b870e82b5345cffdb05d4a61ebc3abc4442b6b9b7450ebe3afbd9f83f1 SHA1: 60b965d995a858ceecc889b81ad4536d715151c4 MD5sum: c0f780575f44d50a6a79a557fedd89c8 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: connectome-workbench Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 68033 Depends: neurodebian-popularity-contest, libc6 (>= 2.38), libftgl2 (>= 2.4.0), libgcc-s1 (>= 7), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 6), libosmesa6 (>= 10.2~), libqt5core5t64 (>= 5.15.1), libqt5gui5t64 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5t64 (>= 5.15.1), libqt5printsupport5t64 (>= 5.0.2), libqt5widgets5t64 (>= 5.14.1), libqt5xml5t64 (>= 5.1.0), libstdc++6 (>= 14), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_2.0.1-1~nd+1_i386.deb Size: 29291408 SHA256: 650f860d457e5552e625ee1ca460cca671701586176fe17f8e732490304886c2 SHA1: 6d575bb9a50f2fe91bde1a1ba885aa02d0a5790b MD5sum: cd5f5a0085a699f59e41a2f7ad2cee68 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 358717 Depends: neurodebian-popularity-contest, connectome-workbench (= 2.0.1-1~nd+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_2.0.1-1~nd+1_i386.deb Size: 358572644 SHA256: cb9cb712ffbe59c27df680e6745cd62f09e8a982880a39c5034e2dcdc55a522b SHA1: 81fc4959b37730bf4b1d02f3914b2d0fe756c470 MD5sum: befb776e4d7ed3c54f0919ecd7b684db Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 3ccf2cb9bea5853398b3b658844902531b1fc611 7e8ffa743fe7001c9d409f3bbb653184adde6cd5 Package: connectomeviewer Version: 2.1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1578 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd+1_all.deb Size: 1356156 SHA256: 434aff9b028c4333df4aff71cc45e6b82a98574f6297ddab70d0ebc260ff5e6a SHA1: 5dc49f902c6d89fd0fea7758ce53c9462ec73db4 MD5sum: a9b946a201ad29742748d1c152b6fd57 Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: convert3d Version: 0.0.20190204-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60955 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libdcmtk14, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.0), libgdcm2.8, libhdf5-103, libhdf5-cpp-103 (>= 1.8.13), libicu63 (>= 63.1-1~), libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libjpeg62-turbo (>= 1.3.1), libnifti2, libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), libsz2 (>= 1.0.4), libtiff5 (>= 4.0.3), libwrap0 (>= 7.6-4~), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd+1_i386.deb Size: 9910136 SHA256: 811aab4c3a55ea45ff35e50a5b11b86a6f49863165d889e37043ebcf7c786bfd SHA1: 5414efcee0d46cf5b1d9796f10bba5e9f58f3db0 MD5sum: 31ce8f50677c3ce3fa69af5f928f8465 Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: convert3d-dbgsym Source: convert3d Version: 0.0.20190204-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 221238 Depends: convert3d (= 0.0.20190204-1~nd+1) Priority: optional Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20190204-1~nd+1_i386.deb Size: 211025752 SHA256: 2c39ddb691ca9327966f175314a65a8b5575e02adaa0e1aee8caadd0d971602a SHA1: 56e9712b9ca5ad556ad82d1fc8a56de4dd207ad5 MD5sum: 5f3bb732306609061b27f0b3e983fbbb Description: debug symbols for convert3d Build-Ids: 88d893b4bd49aef41d87bf74ce21664e1c54d17e b322ee946b3b00f0b8be98f63d5f4b9f0d3bd910 c67b94d7f957edbbd2aa6cdd401a3672ceb3be8d e905431c255fa26725af14c40419c02447db7043 fc97110c3632c0e0f04949f71f00ba2dbe0aa0ac ff47f2ba825967022cd8d28f8ad5162474694a68 Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4050 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfuse2 (>= 2.8.1), libglobus-common0 (>= 14), libglobus-gss-assist3 (>= 8), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient16 (>= 5.1.50-1), libncurses5 (>= 5.5-5~), libopenmpi1.3, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd+1_i386.deb Size: 1398866 SHA256: e573238c0a8177d85f188c5f774d23d2cf6159feb7e5483da0d1a99c3423a9b7 SHA1: 337de86fdd4a6b606665bb0ff54b5f0704d81164 MD5sum: 3368be79a430f15f555b1399be1c2761 Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 830 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd+1_i386.deb Size: 222952 SHA256: 31084fc8d027d8180bd7834081fa9177adf96e39f7612f25084c7ea09fd7a606 SHA1: f4eb1f85a9b0b0bf2c622533aa8a4fd66b67fc3b MD5sum: 9e18eba3cc1365382642100630fcbb97 Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2319 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd+1_all.deb Size: 310822 SHA256: 0642839d664eb82995250674899981ef923b580886bfee044c3d7fb0423d5c59 SHA1: ac36fb2e56a520976ccafeb3149cbb74e53a5783 MD5sum: 24357820bf176e53a7aafe81b73d5de2 Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: copyq Version: 3.6.1-1~nd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5026 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.11.0~rc1), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd+1) Suggests: copyq-doc Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq_3.6.1-1~nd1~nd+1_i386.deb Size: 1404116 SHA256: feb989084bcd5c7e022f9e1bcab237671bc61aab2d3fa69e0c4a488c17e335d0 SHA1: 6e4ae1b2917c96edaeb8f9469275e5ea92962c88 MD5sum: 27d11310b4379e17697f2c7e5ba3a89b Description: Advanced clipboard manager with editing and scripting features CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . Items can be: * edited with internal editor or with preferred text editor, * moved to other tabs, * drag'n'dropped to applications, * marked with tag or a note, * passed to or changed by custom commands, * or simply removed. . Features: * Support for Linux, Windows and OS X 10.9+ * Store text, HTML, images or any other custom formats * Quickly browse and filter items in clipboard history * Sort, create, edit, remove, copy/paste, drag'n'drop items in tabs * Add notes or tags to items * System-wide shortcuts with customizable commands * Paste items with shortcut or from tray or main window * Fully customizable appearance * Advanced command-line interface and scripting * Ignore clipboard copied from some windows or containing some text * Support for simple Vim-like editor and shortcuts * Many more features Package: copyq-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17750 Depends: copyq (= 3.6.1-1~nd1~nd+1) Priority: optional Section: debug Filename: pool/main/c/copyq/copyq-dbgsym_3.6.1-1~nd1~nd+1_i386.deb Size: 17519000 SHA256: d5dc35010d7ecbcd14d0925cad3fc558f02672aa492a372f45e89ecd254e5038 SHA1: bbce2e2f376c331062a0cc5df71393b742f0ed84 MD5sum: fb88beb8cf49f163dec85226d517fa0d Description: debug symbols for copyq Build-Ids: e0b07a0e1437597124b64f4ce10e788da9d7c592 Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1618 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) Built-Using: sphinx (= 1.7.9-1) Multi-Arch: foreign Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: doc Filename: pool/main/c/copyq/copyq-doc_3.6.1-1~nd1~nd+1_all.deb Size: 906260 SHA256: abb8982b477e7cb091004ee299cc46786deda7f2bf246fdbda53c03043426078 SHA1: dceeafc4f170b34347ca35e024915ad23dde76f5 MD5sum: eace3e2bfe3ac1e648dd9527d7e50388 Description: Documentation and examples for CopyQ - HTML format CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This contains the documentation in HTML format. Package: copyq-plugins Source: copyq Version: 3.6.1-1~nd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3131 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.11.0~rc1), libstdc++6 (>= 4.8) Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq-plugins_3.6.1-1~nd1~nd+1_i386.deb Size: 688864 SHA256: e35b2e482f4655146eb919d6151ca19835d7dd7c42a9f955f770eb0c5f4f57b8 SHA1: 72d9dbe045b1fd2e089fd151953fc715f46a2a89 MD5sum: ab21c9949a2cc858f192c75fd81f88f2 Description: Plugins for CopyQ CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This package contains plugins that add various item types support and features to CopyQ, including: * Text with Highlighting * Images * Web Pages * Various Data * Notes * Encryption * FakeVim Editor * Synchronize Items to Disk * Item Tags * Pinned Items Package: copyq-plugins-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13739 Depends: copyq-plugins (= 3.6.1-1~nd1~nd+1) Priority: optional Section: debug Filename: pool/main/c/copyq/copyq-plugins-dbgsym_3.6.1-1~nd1~nd+1_i386.deb Size: 13384944 SHA256: 028ccafbff822399fe87204496b401619ead6f7506715a091a474583ba92c2c0 SHA1: 2c3b9680cb8a929a35ef96bc260d3b4378b1365d MD5sum: 6be728ec06d746014fd222cec8b60c7b Description: debug symbols for copyq-plugins Build-Ids: 066911a6c03090f8541a6069be32b8d87bb5b7d6 08982259696a6375a10755d8e5c9fc7a0eab39cb 26bf5bafd929333d9bdbc914696c75df1ad7c393 3ab012fb84ec8308f80b7e6cbe7473b9b9f48968 4c643a1af30a49a5fd455cda6d0209d8f4790da9 5dfd19a8ee82edd4d74ca92d05bf427792805b15 86b02bdc6541bd05e7f11811af4a8f5d96f1642f cbca6bab5d496c1be7dfb162771c581970923990 f90fef36d680389e3e7a6f29646ceddbbd7c83a3 Package: cython Version: 0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4580 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, libc6 (>= 2.3.6-6~) Suggests: gcc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.13-1~nd+1_i386.deb Size: 1117360 SHA256: 3294cdfa3975fccc7c036c7f682655415b097e72c912995137848e91e64a78f4 SHA1: f4cd5aaf276b9511d09d88326b9874d5c688180c MD5sum: ec697d214932e45fc788e7cc387f630c Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Python-Version: 2.5, 2.6 Package: cython-dbg Source: cython Version: 0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7672 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~), cython (= 0.13-1~nd+1) Suggests: gcc Homepage: http://cython.org/ Priority: extra Section: debug Filename: pool/main/c/cython/cython-dbg_0.13-1~nd+1_i386.deb Size: 2920060 SHA256: 2c4bc665bc543f0d9d7d675f37bf01376f7c725bb659c7bbb168bbfff1b52e64 SHA1: 6ac68b40d2d6858134a3559a7d567b1e59b894c1 MD5sum: b2621ac9fe5da867aed58d8dcb9aa69f Description: C-Extensions for Python (Debug Build of Cython) This package contains Cython libraries built against versions of Python configured with --pydebug. Python-Version: 2.5, 2.6 Package: datalad Version: 1.1.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 231 Depends: neurodebian-popularity-contest, python3-datalad (= 1.1.4-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_1.1.4-1~nd+1_all.deb Size: 192636 SHA256: 38b65dafc77a4fc8aeeefb355018a9ea5e04945251f005b910a8271bc1015c86 SHA1: 3d710e943076f6d22c5e02f496a241d2d10445bd MD5sum: fdb3f852952565133acf08c19b61ee58 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) Package: datalad-container Version: 1.2.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, datalad (>= 0.18~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.2.5-1~nd+1_all.deb Size: 35244 SHA256: 27f91806230511ad390056905685d7954eb9ab431b9b7fed089c9dc892d8e273 SHA1: 5bbfec60127ec443c1e9d0d44b50d0e3b59d9cca MD5sum: 53275c5b2dcfecb17d285fd8b334252b Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: davfs2 Version: 1.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 385 Depends: neurodebian-popularity-contest, libc6 (>= 2.38), libneon27t64, debconf (>= 0.5) | debconf-2.0, adduser Homepage: https://savannah.nongnu.org/projects/davfs2 Priority: optional Section: utils Filename: pool/main/d/davfs2/davfs2_1.7.0-1~nd+1_i386.deb Size: 168148 SHA256: fc1b37ff1f521c567459aa42223a199e6b411f3334181be6e25f4cbe356a99a0 SHA1: 96dd33be774e7e390bbb73505bab780b6d9ae8e3 MD5sum: 5c350f41e9636f0d70394878accf41d3 Description: mount a WebDAV resource as a regular file system Web Distributed Authoring and Versioning (WebDAV), an extension to the HTTP-protocol, allows authoring of resources on a remote web server. davfs2 provides the ability to access such resources like a typical filesystem, allowing for use by standard applications with no built-in support for WebDAV. . davfs2 is designed to fully integrate into the filesystem semantics of Unix-like systems (mount, umount, et c.). davfs2 makes mounting by unprivileged users as easy and secure as possible. . davfs2 does extensive caching to make the file system responsive, to avoid unnecessary network traffic and to prevent data loss, and to cope for slow or unreliable connections. . davfs2 will work with most WebDAV servers needing little or no configuration. Package: davfs2-dbgsym Source: davfs2 Version: 1.7.0-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 169 Depends: davfs2 (= 1.7.0-1~nd+1) Priority: optional Section: debug Filename: pool/main/d/davfs2/davfs2-dbgsym_1.7.0-1~nd+1_i386.deb Size: 141420 SHA256: 5615b636b9b83757c2a880daa1a5f4e64832015fd37a2a9256a734331bb280d2 SHA1: a447bce042a65c4cd4995461875e772cb8c192e8 MD5sum: a1e6bc10d3957f5ddf32b7c39a7ea7e7 Description: debug symbols for davfs2 Build-Ids: 2f306cf3b1c1c0f907498f8b815bd425b43de442 a88eeece0c47ce62a58fd4fdcff3ac1bdaa428c6 Package: dcm2niix Version: 1:1.0.20240202-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1399 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), libyaml-cpp0.8 (>= 0.8.0+dfsg-6+b1) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20240202-1~nd+1_i386.deb Size: 322984 SHA256: bdcad4e02261f64bc684a2b26bdffd0564bf26db6ca63ab407ca9870345519cd SHA1: b9b5d812831176d0773aa07c9a473e20a58c470e MD5sum: fd553424bb9a5f3221e55d6ac14608ad Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20240202-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1573 Depends: dcm2niix (= 1:1.0.20240202-1~nd+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20240202-1~nd+1_i386.deb Size: 1522372 SHA256: 60ccc9cf4cd2a5cfdd07a49e7143c3cdea1fe955b0130016991bacc2cc7f0f26 SHA1: d7a58c18ed30f0732803148d1853518ab742d415 MD5sum: 6d270be3299acb4f366fc1441e4fafef Description: debug symbols for dcm2niix Build-Ids: 86fb50f7ea8683679c796035cf9d963ad1506e38 ac6603adcfadeeeb81bb0c233cf22b123a816f2e Package: debhelper Version: 13.11.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1413 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz (>= 0.12.20190711), file (>= 3.23), libdebhelper-perl (= 13.11.4~nd+1), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl:any Suggests: dh-make Breaks: cmake (<< 3.9~), meson (<< 0.40.0~) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), debhelper-compat (= 13), dh-sequence-dwz, dh-sequence-elf-tools, dh-sequence-installinitramfs, dh-sequence-installsysusers, dh-sequence-single-binary, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_13.11.4~nd+1_all.deb Size: 944444 SHA256: 1242599dc7b3d46ae5a67aa553279a98bada7c10027b925169018b7fb2e802fe SHA1: 952fc3da7045a5366d9298eeeb11e12c54c1a6b3 MD5sum: 8c5c3b51ea58ba0055188350d3ad8793 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: debian-handbook Version: 6.0+20120509~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23215 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1_all.deb Size: 21998670 SHA256: b33f038d8363175473cc056a5f98fc7af52386a466b45d4b2e42d2f25233a3ed SHA1: 7a0b369b4548a3f4fb61aa1ef9efa2ddf2b319e2 MD5sum: 3e3d2cf990fcc5ed1ed6bdbfb5c1c3dd Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: debruijn Version: 1.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfftw3-3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd+1_i386.deb Size: 45328 SHA256: 8fb315c004eb44332ee2e177d07c6c81006bdcc706f9ac3fe45664aa2f16bb48 SHA1: 952db6e54183a66d25c5ca7543b8ab5ae0fbbafb MD5sum: 1542af62da86a48a576df61b892c5cbc Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dh-octave Version: 0.6.0~bpo9+1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, liboctave-dev (>= 4.2.1-5), debhelper (>= 11), cme, libparse-debcontrol-perl, libmime-tools-perl, dh-octave-autopkgtest, perl Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_0.6.0~bpo9+1+nd1~nd+1_all.deb Size: 20068 SHA256: 62c6084e0460d35f5c1b408242d87f1d216ddad51e543ef1e15240666c8abf61 SHA1: 0a3dfb519b35a047f2e3a4f4cd1be87104ca2f36 MD5sum: 2101a8193acc3e96dca23e8dcdffdeeb Description: Debhelper-based infrastructure for building Octave add-on packages Since version 3.0 of Octave (a numerical computation software), add-ons can be installed through the pkg.m system. This package provides the infrastructure for packaging such add-ons for Debian, based on debhelper. It replaces the deprecated octave-pkg-dev package. This package contains debhelper-like scripts for building, checking and cleaning the add-on package as well as for generating the substitution variables in debian/control. . This package is intended to be used by the Debian Octave Group and should be of little interest to general users. Package: dh-octave-autopkgtest Source: dh-octave Version: 0.6.0~bpo9+1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_0.6.0~bpo9+1+nd1~nd+1_all.deb Size: 8520 SHA256: bae127f0b2f97f2a9ab24b58699a6cf34717e6eb92c248c29a4610f0459ff7b4 SHA1: 625c456ca4d4d46babe64a8212a01d04d917d778 MD5sum: f4c0e51261eb1466d78d777e41f3817a Description: script for the automatic testing of Octave add-on packages This package contains the dh_octave_check script that runs the unit tests contained in all *.m and *.cc files available in the source tree from which it is launched. It is intended to be used by the support for Octave-Forge add-on packages, which is implemented in autodep8. Package: dh-python Version: 5.20230130+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python3:any, python3-distutils | python3 (<< 3.6.5~rc1-1) Suggests: libdpkg-perl, dpkg-dev, flit, python3-build, python3-tomli, python3-installer Breaks: python3 (<< 3.3.2-4~) Provides: dh-sequence-python3 Multi-Arch: foreign Priority: optional Section: python Filename: pool/main/d/dh-python/dh-python_5.20230130+nd1~nd+1_all.deb Size: 103868 SHA256: fc1fcf2df7420f119a936b52ded803607826778463646f9386018b12ebccc5fd SHA1: dbdd43c6ef1a5fda1b4218b1b5e3dfbeb917a332 MD5sum: 67e6d1516daf41054e11763bec332b26 Description: Debian helper tools for packaging Python libraries and applications This package contains: * pybuild - invokes various build systems for requested Python versions in order to build modules and extensions * dh_python3 - calculates Python 3.X dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. Package: dh-systemd Source: debhelper Version: 12.1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd+1_all.deb Size: 122652 SHA256: 16380bc1176dce7797bbe16397571dadcc5c6de40c6fd2bea8fba31b1ed77145 SHA1: 6688006f42beddf79ca9381f00cb841927ce50ea MD5sum: 7e743658dc1eb91b4cf9f5430479412e Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: dicomnifti Version: 2.32.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 507 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd+1_i386.deb Size: 97576 SHA256: 69f4fab7711c4a239dda43a659cd8f1222422c0d44ed7ce6cdb236f1b4d77437 SHA1: 4e18b5b37602c3ab0a666941f2b9e80448ca6187 MD5sum: 1b717d8afb0cc29aea59c551185e57e6 Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 2.3.1-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2769 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd+1_i386.deb Size: 670480 SHA256: e2c626df7de7cd9dcafcbbdfaa305a973bc2becece99aa874491418b27501835 SHA1: f85b8ebc735f8d3bfb5520dddff1c637fc7ff70d MD5sum: 343eea9daf07dc5cb313e099c32dfeff Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.3.1-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20306 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.3.1-6~nd+1_i386.deb Size: 4341580 SHA256: d81cd24320bfa74787ba3c35807916c77d69be2391fddc9e574e9d9379b6c3b6 SHA1: 2648f66a45c4a6bb3f912c3003a0c25f07f65a68 MD5sum: d057bbee63638482f6725b710b4f7b7c Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: docker-compose Version: 1.5.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd+1_all.deb Size: 87420 SHA256: 8e1c046f74ca70d5335a5700e0349e295a7d29c4f9519ecff6f3503bec8ce2d8 SHA1: 60b4209fd79c7a44d8fc80b65b80d6465e9d763f MD5sum: 746a3e0890d396e0a4f5cb21b58c1c2e Description: Punctual, lightweight development environments using Docker docker-compose is a service management software built on top of docker. Define your services and their relationships in a simple YAML file, and let compose handle the rest. Package: dwz Version: 0.13-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 479 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libelf1 (>= 0.131) Multi-Arch: foreign Homepage: https://www.sourceware.org/dwz/ Priority: optional Section: devel Filename: pool/main/d/dwz/dwz_0.13-5~nd+1_i386.deb Size: 154180 SHA256: 53f4c4431eb50182a48874830500256a0041671b70f419a2db8dd8ff46810d91 SHA1: ce96a57820c15db4ba1eebda3c404031be869014 MD5sum: 66d5bd72d6dbf7bbfb80830990c8d3fd Description: DWARF compression tool DWARF optimizer and duplication removal utility. Package: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: https://github.com/grondo/edac-utils Priority: optional Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18+git16-g8fdc1d4-1~nd+1_i386.deb Size: 26160 SHA256: b893738e99ea5ff89ee2b554c00da2b2d57d0f302712faca6eb854d8e5b46389 SHA1: 443e61db3405325937ed5a154057456e5d4a1c9e MD5sum: 7014dee85ea6fd2ae77c50d7e9ae5bf2 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eegdev-plugins-free Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1), libc6 (>= 2.3.6-6~), libexpat1 (>= 2.0.1), libusb-1.0-0 (>= 2:1.0.8), libxdffileio0 (>= 0.0) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.2-3~nd+1_i386.deb Size: 28052 SHA256: 92ca8fb78c10bfa5fd80f1f2cb25896bc99aa8995c8a93cc135c8719adbffb9e SHA1: efea8c360e6f6e56cc7530572f508700f9af8fae MD5sum: f82e759fec9ae76ecd47ec7d6e7bc81c Description: Biosignal acquisition device library (free plugins) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the devices plugins that depends only on free components. Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8109 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd+1_all.deb Size: 7224686 SHA256: 54ff518513962d0d5f50f6194edc9210fd1280ccb3dd2d277aee94711522513f SHA1: 0f8e5ec99bfea7724ce386136c4733c175063e78 MD5sum: 489d2beaf9e6e7e581abbfb6cebbef44 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: eegview Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libeegdev0, libmcpanel0 (>= 0.0), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegview.html Priority: extra Section: science Filename: pool/main/e/eegview/eegview_0.0-1~nd+1_i386.deb Size: 12720 SHA256: 174f4a2fbcbe12fa5b9c277d77fa1701a2fb8e735b2922e77494ab7becc92240 SHA1: 6d80e9d5928f01906bf6b9d1efa54f3f6f0d55fd MD5sum: c7aa06677df8db4c08a7ca300616410a Description: Software to display EEG data in realtime This software allows one to display EEG signal in realtime as well as record them. It is the minimal recording panel needed to do simple experiment. Package: environment-modules Source: modules Version: 3.2.10-8~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 187 Depends: neurodebian-popularity-contest, debhelper (>= 9), tcl8.6 (>= 8.6.0), libc6 (>= 2.4) Homepage: http://modules.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/m/modules/environment-modules_3.2.10-8~nd+1_i386.deb Size: 90538 SHA256: 46ef6b3a02f564af66e089f456cf838c13b1d3a680fad6cf977cbfcbe8a7271e SHA1: 648e054b695c14d33a7c482d9a7a02992f4ce887 MD5sum: 8e4de3fbf7988f3b8a9135fb47bd1eae Description: Modular system for handling environment variables The Modules package provides for the dynamic modification of a user's environment via modulefiles. Each modulefile contains the information needed to configure the shell for an application. Once the Modules package is initialized, the environment can be modified dynamically on a per-module basis using the module command which interprets modulefiles. Typically modulefiles instruct the module command to alter or set shell environment variables such as PATH, MANPATH, etc. modulefiles may be shared by many users on a system and users may have their own collection to supplement or replace the shared modulefiles. The modules environment is common on SGI/Crays and many workstation farms. Package: exempi Version: 2.4.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd+1), libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2) Multi-Arch: foreign Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: graphics Filename: pool/main/e/exempi/exempi_2.4.1-1~nd+1_i386.deb Size: 20696 SHA256: d843e84f55c45232fa1e2770a91cd4389fc381b2661783e76f1547d337d51e2d SHA1: 691cbc03863152634c94a5b1ce3e04bb1009b298 MD5sum: 6c318a29e0d8f9b5edde967470531fdb Description: command line tool to manipulate XMP metadata Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides a command line tool to manipulate XMP metadata. Package: exempi-dbgsym Source: exempi Version: 2.4.1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: exempi (= 2.4.1-1~nd+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Priority: optional Section: debug Filename: pool/main/e/exempi/exempi-dbgsym_2.4.1-1~nd+1_i386.deb Size: 67452 SHA256: a0401823778821990feec4a4bf41c4c465b52e14fe3d9bbbdddf6ae05e024838 SHA1: 3a57f15dfc28fa944c6a64631bffd784cdd2ddc8 MD5sum: d1e47b41e109a2b08b99aedb532489f6 Description: debug symbols for exempi Build-Ids: 04818b8e422463ae3e348ed4cf4d740724771117 Package: fail2ban Version: 0.9.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1302 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd+1_all.deb Size: 291134 SHA256: cd1fb66913c07e958582ec25cb6fe8ba9766f0217db36530e21b3498b35cfb9e SHA1: 0f1b997569297c462a25e5ed8f7c9f6d83e929d2 MD5sum: 05998f37e00c521f82e51abfc7d5f7d8 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd+1_all.deb Size: 1166 SHA256: 7dda9d1542d1494e9a7fee60f42db2b304fd486139b040580e1719fcc4f3a72e SHA1: 4992038df8faf051041e20e9509db82a264606c5 MD5sum: 0627a974c392edde19e7e09ff3454195 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.4.9-1~nd+1_i386.deb Size: 45224 SHA256: cf3c1a2b0f457e4eddeb246e1bd67c3dde4cd490a8290ee0d179a70e2fc4c1ff SHA1: abd69ca419df9f0aaa1c110e76d21a0dd20772fb MD5sum: 154dcb4811612852ec5b15a5ff693dd9 Description: GNU implementation of the IPMI protocol - BMC watchdog FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a watchdog daemon for hardware BMC watchdogs. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 490 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd+1_all.deb Size: 339368 SHA256: 630feacdcc5462e2cb14ec9cc1ab0df88ed40258cec8fc465d00ca2b35195650 SHA1: 37a7e8b5ad9ebb187cfa538fde4bc36977682a8b MD5sum: 461e09f72e0e80921f61d0d42aaae393 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: freeipmi-ipmidetect Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd+1_i386.deb Size: 39792 SHA256: 3a953c73d86810aed75d791ae26fd3dfa0d2e84316b4cc7c306330ae283f638c SHA1: 96e4a3c4b4910eccb3019c7aa02a625628221130 MD5sum: ae0a905fcac6ab11707df23275179198 Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a tool and a daemon for detecting IPMI nodes. Package: freeipmi-ipmiseld Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 219 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1), sysvinit-utils (>= 2.88dsf-50~) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmiseld_1.4.9-1~nd+1_i386.deb Size: 82172 SHA256: 2e3a8526b8e8887e996d15c9556b58af72510b906c608a4a083201f603e52ea8 SHA1: 349558078cd16fc69ac6cfd09702d9fd9a197fdf MD5sum: 5c1b2292a5de9e0e12c8f8bc1525ed30 Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains ipmiseld which takes the system event log from the BMC and imports it to syslog Package: freeipmi-tools Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3080 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd+1) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.4.9-1~nd+1_i386.deb Size: 623068 SHA256: 5f03f2f0bbaa079265f46c0349ac18e07cf15f7e800afc658ac246c4e0b192cc SHA1: 4a5f38f83f756442aa6b1fd957fc0af40d6e6967 MD5sum: 8449c8693810f5887ed60b9459491b87 Description: GNU implementation of the IPMI protocol - tools FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains assorted IPMI-related tools: * bmc-config - configure BMC values * bmc-info - display BMC information * ipmi-chassis - IPMI chassis management utility * ipmi-fru - display FRU information * ipmi-locate - IPMI probing utility * ipmi-oem - IPMI OEM utility * ipmi-pet - decode Platform Event Traps * ipmi-raw - IPMI raw communication utility * ipmi-sel - display SEL entries * ipmi-sensors - display IPMI sensor information * ipmi-sensors-config - configure sensors * ipmiconsole - IPMI console utility * ipmiping - send IPMI Get Authentication Capabilitiy request * ipmipower - IPMI power control utility * pef-config - configure PEF values * rmcpping - send RMCP Ping to network hosts Package: freenect Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.3-3~nd+1_i386.deb Size: 9024 SHA256: 23caf819a81e70b464132fa00fea8bb4236a3066590892d57334e16f9f7e5b58 SHA1: cb1470ec5677553b544f86833a42443261cac563 MD5sum: 771502de076ceebcfd852788db92534b Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 74 Depends: neurodebian-popularity-contest, python, python-matplotlib, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-nibabel, python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd+1_all.deb Size: 13894 SHA256: 9756e4fb5df49c082874797043964c50688944e09807b3c2e3ae5f8ef57a29fc SHA1: c8188453f7a785172e154a3ed522bd45758a23b6 MD5sum: 810ba8a6c4ee3c0548200411b906c2a2 Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd+1_all.deb Size: 26726680 SHA256: b5f41e61d416d3268f9a8a7e01971a810595cd5481f597de5fa1081856e167ef SHA1: e0002e64413bd7d013db8649b34ac63a48a7f058 MD5sum: f205ebc8cb44e25052b29a19174136c2 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: fslview Version: 4.0.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5943 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd+1_i386.deb Size: 2285198 SHA256: 30732c93dd0eeccc29a8f9d2b55f425b4e0fb4b4386d3777bc9d54d112d5e995 SHA1: adb708715217535b1a229f3c37ac241d1db8ae80 MD5sum: 3b65dd3f1324d276a9c7a3bf180d6625 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-6~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2930 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-6~nd+1_all.deb Size: 2227654 SHA256: 76b56902c93037a6b1047c3e407923921380d785c518c9fb3578b298e9bf571e SHA1: 230f1be25b2d41fb8a1b741677ba1af77a3fcfe2 MD5sum: fdd711020a889d9831643710482d3d31 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.4.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.4.0-1~nd+1_all.deb Size: 1669934 SHA256: a942c1135cb5ea2389e82adeeeddd0c6d52dbb92a9d5ec5b6fbd38dc344a85e8 SHA1: 5e465d9f3df150aa6315f64305a6fc8066123b0d MD5sum: f3d53c3e565d66af9033c8eb536f27b0 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.3-3~nd+1_i386.deb Size: 35988 SHA256: 1fbfede9e227b2f6213727b19c601b3547e3a674b6ec28d8fa35f31c4b871823 SHA1: bcad8de5d47d129f099c626a21d38af0cc40ed4e MD5sum: a51e5a83979e7fa2be969aeb41085404 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gdf-tools-dbgsym Source: libgdf Version: 0.1.3-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 391 Depends: gdf-tools (= 0.1.3-3~nd+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/gdf-tools-dbgsym_0.1.3-3~nd+1_i386.deb Size: 362032 SHA256: 3193cfa392159c3d94dcaf1b9151734aa154c6dafc34cb329157e7327ced4db5 SHA1: 0d065cf1e4883a0deb18d390128d27191e8e6065 MD5sum: 7c1b914ddecd41236add45f77a56f9af Description: debug symbols for gdf-tools Build-Ids: bf222ab4c75496256ffcef9accfb55c9bbef95e5 Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libexpat1 (>= 2.0.1), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd+1_i386.deb Size: 23668 SHA256: 526cef06193be4fe427a87915764849ba80adb1f2593d0f7d9ef4af55a4513c2 SHA1: 657d44ba2222045de455bbbb0fb568d812b2d9e8 MD5sum: 95edd320f24e25c5911ecc58a5d5ddc9 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: gifti-bin-dbgsym Source: gifticlib Version: 1.0.9-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: gifti-bin (= 1.0.9-2~nd+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd+1_i386.deb Size: 3812 SHA256: 065578dc6b65f7b291f4466e2ac60ff200e2de254c3f5a89efd943181a94a80b SHA1: d3273c66bc95c415638b7573a0556767183d9aef MD5sum: d8c178a5aa172a1398b5f6c5bddc295a Description: debug symbols for gifti-bin Build-Ids: 0511ec70dde957843d7a5408cd5b4b0b97f86259 a8a88271c6ef50c170cf74f2224b02055c5cdbd2 Package: git Version: 1:2.24.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45364 Depends: neurodebian-popularity-contest, libc6 (>= 2.28), libcurl3-gnutls (>= 7.56.1), libexpat1 (>= 2.0.1), libpcre2-8-0 (>= 10.32), zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.24.0), git-man (<< 1:2.24.0-.) Recommends: ca-certificates, patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), dgit (<< 5.1~), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), openssh-client (<< 1:6.8), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.24.0-1~nd+1_i386.deb Size: 6496564 SHA256: 16c54ea6df55869fa73f3cf83f2e78a89827ee9d81c7cc67f4d535b648667e33 SHA1: b57d8b720528da5b0298431232fc5815fb176ca9 MD5sum: 806bd99da020e569c6ccac9697df500a Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 831 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.24.0-1~nd+1_all.deb Size: 834252 SHA256: fab26e4f688a703380549a49efb9b463f46fec2243bf6ac5084337bb88479e43 SHA1: 05a36819e131056f20696f6fad1f43bf547813f2 MD5sum: cfa904316c8aafaf3b7f4f841a3e29b0 Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex Version: 10.20221003-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138972 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libffi8 (>= 3.4), libgmp10 (>= 2:6.2.1+dfsg1), libmagic1 (>= 5.12), libsqlite3-0 (>= 3.7.3), libyaml-0-2, zlib1g (>= 1:1.1.4), git (>= 1:2.22), netbase, rsync, curl, openssh-client (>= 1:5.6p1) Recommends: lsof, gnupg, bind9-host, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp, youtube-dl Breaks: datalad (<< 0.12.3~) Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex_10.20221003-2~nd+1_i386.deb Size: 21001636 SHA256: 296d9e7d562ea4e71264e61522d980740db3c954ef8c2aa3f6f9e88391f48518 SHA1: 3be3bf6f2063a586f5f9f20c0b4d432e8908108b MD5sum: c010d61b1f15e4c28b2ff67617be3854 Description: manage files with git, without checking their contents into git git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. Package: git-annex-dbgsym Source: git-annex Version: 10.20221003-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83935 Depends: git-annex (= 10.20221003-2~nd+1) Priority: optional Section: debug Filename: pool/main/g/git-annex/git-annex-dbgsym_10.20221003-2~nd+1_i386.deb Size: 28473220 SHA256: 60fb1344d97af78e4416cc155dccbdad0ecb4a28a4a7b8076644304d8777e28d SHA1: ccfbcd766eb2694ef20472bac95c1b10b46b3b57 MD5sum: 12a68392773ccd6a39ca4e4ee9486525 Description: debug symbols for git-annex Build-Ids: 087e95746ff8ef2c670ae2a0ffb1cbc490adccf0 Package: git-annex-metadata-gui Version: 0.0.0~pre1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 60 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-metadata-gui Priority: optional Section: python Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd+1_all.deb Size: 10334 SHA256: d148807c5fa78a3b4a7f8b5fdef7ba60a687f9d5c88219a429f45be81f556890 SHA1: cb323ba29f409de390b7ba179accf1b7c4860803 MD5sum: 76e6a50623e0546267118a2a34ab8107 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. Package: git-annex-remote-rclone Version: 0.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.8-1~nd+1_all.deb Size: 8556 SHA256: c1608a1b6bdb8990ca0bd8ef7b716d4d378c5a2074999a25a72097d635982ed7 SHA1: a7444906ca19e5eb97240de231c5a6b53b07b12f MD5sum: 2e05b60323cd3ae1a9f2b9147795ec16 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 236968 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_i386.deb Size: 68790604 SHA256: 54a538b686e2e3c42f6cf7260adc0ffe9710f3c6acc07a3b0832df703dba5a6b SHA1: be36d7de781610ad2928fe4ce19fa9ff92631f78 MD5sum: 97eb9b52c155f9c314da9711f48b2ed7 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-cvs Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1212 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.24.0-1~nd+1_all.deb Size: 897228 SHA256: 460cdcf4f118515ab00bb1ceb09aa17a8723beba9c66a747b49a0aab8df6f81e SHA1: 3ddcb15d4917fda2100ead30dddae755e310471a MD5sum: ee4eac37b03c75c026680f5a34c22971 Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 843 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.24.0-1~nd+1_all.deb Size: 835876 SHA256: 878218edcf98d502e8082d5b12824b78f4a7eb9a7d1831e8378c995a8a4cc48d SHA1: d93c8503be3f0edd01e7ee2bbfa9a8d29f7a34f4 MD5sum: 9ba393ee294605ea629fec6e5bc8bdd4 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. This configuration is simpler and more reliable than git-daemon-sysvinit, at a cost of being less familiar for administrators accustomed to sysvinit. Package: git-daemon-sysvinit Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.24.0-1~nd+1_all.deb Size: 836924 SHA256: 12842c8f96b82ea0d0a3eae5218f163f693654cbdd3ecd8b1a155fdbea8b1a59 SHA1: 48b68b1f02480a49b58efc7b2bbf9349d58a3aca MD5sum: 04742d8e42a1c2d885b2955c862bb003 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Unlike git-daemon-run, this package provides the usual sysvinit service management commands ("service git-daemon start/stop") for git-daemon. Package: git-dbgsym Source: git Version: 1:2.24.0-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 49163 Depends: git (= 1:2.24.0-1~nd+1) Priority: optional Section: debug Filename: pool/main/g/git/git-dbgsym_2.24.0-1~nd+1_i386.deb Size: 47022728 SHA256: 9b48f8b3a0df5abf22d531ead00c31161d92f67f4030224da4e3636325973654 SHA1: 5deb7dbf3f540be13437cb94f85707c140949c82 MD5sum: bba0032c87e3392043087f1ca1db3bc8 Description: debug symbols for git Build-Ids: 08b69b240bc061b0fbf0f6a3440e747e95283e5d 227def610393bb997b8d69c5ed2ce67b18113c59 556135438ca4a21c039f80cea5a7eb609b8ad07a 58ea73535f16e496095499b8a635851d55eebca1 5b089e43e84cac09d227ba8f8533a87a2fb92ade 68bf40809d0445b08f7c1c2b11dc4b3d6eb76da5 74ab59c9022e0522c73f699cc67371de0ceba211 7c5499be6a24dac3b12317a0a67ecaafee076e62 80396e8323c147097e59fc6a88098200516a2b8e 9cd17469de2ac8008f33f19dfa1470ed6c67808b a9bc6128c7485a59e208756eeb4beb9d46c24874 d60acbbfbf78807531b7569f41049027a352f8f3 d66f243de17be387aed967295f160f3026423a3c dc03445c9d02e3d0efd59b65957132d086d86505 Package: git-doc Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11642 Depends: neurodebian-popularity-contest Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.24.0-1~nd+1_all.deb Size: 1837124 SHA256: 4b1ace995c6843140105cb010342c39e3acdd71f50336140a01ee1b27a117974 SHA1: 45dbae0f24aa1f2aaa66d733ff7727eaa3184a1a MD5sum: 32f849e99f21f379056dee46b4085065 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 854 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Recommends: elpa-magit Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.24.0-1~nd+1_all.deb Size: 836620 SHA256: 4966325040f010a587ca536d474bf893bc6c5bd85273d65da9421332b135636e SHA1: cec662455ba9b07821336c17ec4cc22f598ab304 MD5sum: 818fa31e37bf8ae617a6dde3504cbdd2 Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This transitional package provides two modules that previously could be used for integration with Emacs: git.el and git-blame.el. Now the modules print an error message with instructions that users can use to migrate to Emacs's VC-mode backend for Git or Magit. Package: git-email Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 900 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.) Recommends: libemail-valid-perl, libmailtools-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.24.0-1~nd+1_all.deb Size: 859524 SHA256: ac8e07bf2252787a2b57a4b5cd9d4ba2182cffe09a98995b0961d0631aa11a78 SHA1: e87becca9611ae49fae5330839404b5221a404d5 MD5sum: c09ed544f119636b0b482910d52a6de4 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2313 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Recommends: gitk Suggests: git-doc, aspell, meld Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.24.0-1~nd+1_all.deb Size: 1044528 SHA256: 04453eeea2507e77e748745fea993a2ea2816736c6136d11e0ea134abadee86a SHA1: 4dcc6c401082f94118aa6932c2c0ebe188b4af17 MD5sum: 665367efa40885baf50bfc50abdc24fc Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. . If meld is installed, it can be used for displaying diffs and for interactive merge conflict resolution. Package: git-hub Version: 0.10.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd+1_all.deb Size: 34098 SHA256: 8040a3bcf2b0edb26f64479ad263802c54abaa84c5c634916bac6cc38d0f0b86 SHA1: fa08d17ce7635fb46ae42ae7a828a421253be7b3 MD5sum: a5f8f25a39285cdb58716bbb34332c85 Description: Git command line interface to GitHub git hub is a simple command line interface to GitHub, enabling most useful GitHub tasks (like creating and listing pull request or issues) to be accessed directly through the Git command line. . Although probably the most outstanding feature (and the one that motivated the creation of this tool) is the pull rebase command, which is the rebasing version of the GitHub Merge (TM) button. This enables an easy workflow that doesn't involve thousands of merges which makes the repository history unreadable. . Another unique feature is the ability to transform an issue into a pull request by attaching commits to it (this is something offered by the GitHub API but not by the web interface). Package: git-man Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1748 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.24.0-1~nd+1_all.deb Size: 1695108 SHA256: 000d987d0913cef7c169bb48f8f0f2845ed9f49ef9e13ebea7695ee7dfdc4fa7 SHA1: 77deaf729e716b12b52f3a4f1aeebf48735fe026 MD5sum: d1e3689fd1defe767030a7cee6938611 Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 890 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.24.0-1~nd+1_all.deb Size: 850220 SHA256: 66769d8799121422d6d92271179813d80e71b735f841d285f61504a5d1063128 SHA1: 75d2262e68fea1de364b8740d4821e29ecbac8c3 MD5sum: 1fc2d8e17e9db9d0ba9ecec4412e49b6 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1077 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.24.0-1~nd+1_all.deb Size: 909420 SHA256: 505f7b500a6ee1ce7908666aface80428fcef7e21db3106df6b4e1da97426e17 SHA1: 67326024f598cc8a7dad9527b6c50f5290085c99 MD5sum: e2308ee8c41218ad154ffa1b12333c19 Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1612 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.24.0-1~nd+1_all.deb Size: 969484 SHA256: ea3b3fb84463d5c2cbd445051594eb893e39e262a986fe04230ffd9ce2ecaacc SHA1: 3902c5c8e5dbe8e5aa1a342db4f588c51fa52fe3 MD5sum: 77fa1458976331954be5d8d35f3d2a4b Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.24.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 853 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx | httpd, libhttp-date-perl | libtime-parsedate-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.24.0-1~nd+1_all.deb Size: 838520 SHA256: 907682961f77249de9669e45a7e3c234978e134c45a5a4777f875379710fee41 SHA1: 0a89f005cc5c7e185bd15fd77db4b4ae7a079081 MD5sum: 0c701e95385509d0f7ac3ac5668f6362 Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd+1), libc6 (>= 2.1), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd+1_i386.deb Size: 135738 SHA256: 2f2758b0f373081009af44f62024d634c92e47c7fce408e8fa410341208ba213 SHA1: 6aeace4b4b489846fef9b3d055fe37651a663557 MD5sum: 4b9991788ad28d2269114a93d0905ba2 Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the utilities which can be used to query the supported OpenGL extensions. Package: gmsl Version: 1.1.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd+1_all.deb Size: 13860 SHA256: d5e113a0261e40edce8fb498d2bb7852c648002247fffdff0452381a4b2ecdef SHA1: 11595f3dcf608a93147968af5da25409ce67f80e MD5sum: 1f3da7118ebb92d891e0eca8f578fe12 Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: guacamole Source: guacamole-client Version: 0.8.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 476 Depends: neurodebian-popularity-contest, guacd Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole_0.8.3-1~nd+1_all.deb Size: 426802 SHA256: 30425f953711295f9fd13c922f1f6cdfb967eae6d2b35805872681de6cab0984 SHA1: 10dc2e2a857d30f9a48b314928809fa24c950efb MD5sum: 146eaa1ce187ce8df480c722af1b3657 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole-client Version: 0.8.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole-tomcat_0.8.3-1~nd+1_all.deb Size: 6738 SHA256: 35e27bb61847fd126702dfd459303228bb781ce180fa78b663d7263479f5b2a6 SHA1: 97eec3f03694256ce8d38f1ae5db05b2e6de793a MD5sum: abb7483920ef5ea1c5619fd31786a892 Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.15), libguac5, libssl1.0.0 (>= 1.0.0) Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-server/guacd_0.8.3-1~nd+1_i386.deb Size: 13834 SHA256: d48166fefca9cd77b7573072912f696887f9ea1c4c5f3120fd36f1a7c698344a SHA1: 07508a8dc5ea597b8331e59b26cca2ecc52a2a2a MD5sum: 2e3621d0017559e1923caed28d07db8d Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: heudiconv Version: 0.13.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13543 Depends: neurodebian-popularity-contest, python3-dcmstack, python3-filelock, python3-nibabel, python3-nipype, python3-pydicom, python3:any, dcm2niix, python3, python3-dicom, python3-numpy Recommends: python3-pytest, python3-datalad, python3-etelemetry Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.13.1-1~nd+1_all.deb Size: 7662624 SHA256: ee6c2327ac8bbfeb6a2ed928e2a184088a69b91d2333e0f572a84166525fd73b SHA1: 6e9bcbd9c43c3d7e6f93dc95066a975fe32a8081 MD5sum: f5820c7f02ef2a2872af35725ad598f9 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15100 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libclassad7, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglobus-callout0 (>= 3), libglobus-common0 (>= 15), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 6), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 10), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 3), libgsoap5, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.10+dfsg~), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.2), libpcre3 (>= 8.35), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, zlib1g (>= 1:1.1.4), python, perl, adduser, libdate-manip-perl Recommends: dmtcp Suggests: coop-computing-tools Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 4119944 SHA256: 009875597ab32e260a91a2b055a94288e56f2a829175dc16fe3a069224d80430 SHA1: 5f8101b7e91d28a1bc049a4a7bba8f4f0b73b4c0 MD5sum: 0fb465009889866ae6f1a5a4ab0daddd Description: distributed workload management system Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 33216 Depends: neurodebian-popularity-contest, htcondor (= 8.2.3~dfsg.1-5~nd+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 31201810 SHA256: bd5448de6e46983d1f1cf71bb45751ac9d17147a35e37af9a7c21b6288d12f7c SHA1: 9c9bb06db1e2813d572beeda9c809b2d6f7fe8ae MD5sum: 25c92ccefe3b701c5ed904592f9374a5 Description: distributed workload management system - debugging symbols Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for HTCondor. Package: htcondor-dev Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1248 Depends: neurodebian-popularity-contest Breaks: condor-dev (<< 8.0.5~) Replaces: condor-dev (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: devel Filename: pool/main/c/condor/htcondor-dev_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 286946 SHA256: 5edac8f80e4b11bcc29049d2b60e78e65cd62a58cfc87ba213e61dfd90c1a2f5 SHA1: 1020cd6e96f181ec91337ddbc3f09999b53aa568 MD5sum: a8d3249cc14e9493c29c322d9b4ed23b Description: distributed workload management system - development files Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6227 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd+1_all.deb Size: 1087552 SHA256: 6833fc09e92cc1e0fe78c1e3e43d73d16d243199e28d591d93b2e92ffbd4e0d2 SHA1: ad9d8cee6a2a6b0d04ee30020d8b840f7c98e9e6 MD5sum: 3d5e67adda658a5bde6f61c60c5756ca Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.13.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 502 Depends: neurodebian-popularity-contest, python3, python3-pygame, python3-pil, mupdf-tools (>= 1.5) | poppler-utils Recommends: mplayer, ffmpeg, perl, xdg-utils Suggests: ghostscript, latex-beamer, pdftk Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.13.1-1~nd+1_all.deb Size: 201928 SHA256: b31ce67458ea50ad00f33e7c2064a7e0fff1857b535844dea152d60f52668d60 SHA1: b234f962330c4a91e6d2be6cde916c2314ece3bf MD5sum: 9198c40c5ad8a9d9e4c76720a7b73569 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd+1_all.deb Size: 9644 SHA256: 0d13ef08a008124bb9da089c6b0ee0b6786334ccc1f455d0fbf23dc513dd40df SHA1: bc8cb6cadf98cc14994f98441238f49353e3a04c MD5sum: 4ea2b3f0bbadd9c29c191cb08ac94709 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: init-system-helpers Version: 1.18~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, perl Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd+1_all.deb Size: 13476 SHA256: d19f7f7a8cc30eebf191c3e5ad052e7bed02fdc1193cd7d909b96fcb70fb0a92 SHA1: 030b394a1bb44ed637be9f28365d434d5b7b76b9 MD5sum: 1082547d50241a858f76eaea6a830965 Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2836 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd+1_all.deb Size: 2500548 SHA256: 0531b48d93ec829a52e19ef69ade463eb0d13b9b1d738db0d3b56ba6773293a6 SHA1: 1827fac02b3ef405aff4374a4cb2563a9c0dca06 MD5sum: ed36ba29f41f8508c077ae627f0bcfa9 Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 728331 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd+1_i386.deb Size: 65622278 SHA256: 261b39c0b149532d969e37286ee24003a6544d60fadcb6cefb92d5d8b7004cd7 SHA1: 4f4f0a76cd55612504d60e6032a9e0f11a352cae MD5sum: 2380cbbc0a570454b636ad86c3c40707 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4808 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.6.6-7~), python (<< 2.8) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython01x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x_0.13.2-1~nd+1_all.deb Size: 1306542 SHA256: 33fc418d5aa20d8ed5764ba27113cf8b7dfd6e161f925ce1b3bf179bf11fb31c SHA1: 39a91cecc912b7b453902b3746d62849a55e0b52 MD5sum: 9f74e872ca8b460a4350a340d804f98b Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with notebooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-doc Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16672 Depends: neurodebian-popularity-contest, libjs-jquery, ipython01x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython01x/ipython01x-doc_0.13.2-1~nd+1_all.deb Size: 7241256 SHA256: a0d2235483d3300b6213c473d783db7e62487249a9bed0d418dbad6d44693be8 SHA1: 947c3033758d7974461bd0758e0d765af1750dc6 MD5sum: c52d4bb47c6d7375400b74e24c2f9fd8 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-notebook Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-notebook_0.13.2-1~nd+1_all.deb Size: 900 SHA256: 610ebc3a7bcc05bd450b367852ab26dad5c2f8b668e000fc73880a07cdffda2f SHA1: c722a2a679e2931d56dc828366f160165f16d9d0 MD5sum: 9e7976ee869362eaa11884d2e1ff00c0 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships notebook functionality inside. It is made so to stay in line to modularization of official ipython package in Debian. There is no real good reason to install this package. Package: ipython01x-parallel Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython01x/ipython01x-parallel_0.13.2-1~nd+1_all.deb Size: 828 SHA256: 1f0ce5d07095b2529a2f935f8715d834215d6c4f016179fc33ba6b11dd5855f7 SHA1: e2194703b6e2426cbb732cc34070157910c6c0ca MD5sum: fe3fa702999665bd8751b4daf6afb0d2 Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython01x-qtconsole Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-qtconsole_0.13.2-1~nd+1_all.deb Size: 914 SHA256: ed093f1f0751c34cedd9910b094deecb52e3a7d8865119c5de7d47996acdea7b SHA1: 4aebbc9ff1ce980725e419f8754294d3ea472dc6 MD5sum: 96a49d95cc8ce5bff8422fb5d3f378ba Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships qt console functionality inside. It is made so to stay in line to modularization of the official ipython package in Debian. There is no real good reason to install this package. Package: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11748 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.7), python (<< 2.8) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython1x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython1x/ipython1x_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 3842882 SHA256: 7c1441bc77ba7c7fd3bdbe815f7c7f7f6463fa9ef0313a9e93609cdfe179dd8c SHA1: 4caf2b8e43102cc073fa5d48befbdea5f0bd2f59 MD5sum: 47491a39015e2f209b730ad0cb5ada5d Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with notebooks support. It provides IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-doc Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10389 Depends: neurodebian-popularity-contest, libjs-jquery, ipython1x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython1x/ipython1x-doc_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 3694410 SHA256: 791e5bf6963a169984fc99ea7876edcf8ee4d9d395d324c12dda2aef4f0a602a SHA1: 94c9c4fed79527354a553fd0e0a794eb18c92ae6 MD5sum: 4a3eea4d61a721ca8acfda4d8c57ef61 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-notebook Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-notebook_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 962 SHA256: fe4b4c9a3c3c0f4a0a6fea5b8988cfdf1116d52d69e2c1a0fee034193a621b73 SHA1: 7fff71aa3955c95a06d37dc68325299f9d5304ef MD5sum: cd9e1c312a5b0daaa52b9744d53c19d0 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x which ships notebook functionality inside. It is made so to stay in line to modularization of official ipython package in Debian. There is no real good reason to install this package. Package: ipython1x-parallel Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython1x/ipython1x-parallel_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 888 SHA256: b92af7fb89a64885bac32001ff8af087e44e8b5b7d2ff631255d786fe8a80d01 SHA1: aaa3c95e540ffc04b95c335b8059fa1d82c1da4f MD5sum: 8ffb02a51001d8c55e7f68aad8820104 Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython1x-qtconsole Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-qtconsole_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 972 SHA256: 899ea9da63a3f655e738b2853dc87c805ce75a92303b2f1baf93e31c9aa5d743 SHA1: b8d030862023fbf54da8e753ce0b86d306982254 MD5sum: 6db341ac45a0e710a04f62bd052e45c6 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x which ships qt console functionality inside. It is made so to stay in line to modularization of the official ipython package in Debian. There is no real good reason to install this package. Package: ipython2x Version: 2.0.0+git8-gee204ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12337 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.7), python (<< 2.8) Recommends: python-tornado (>= 3.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib, environment-modules Suggests: ipython2x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython2x/ipython2x_2.0.0+git8-gee204ae-1~nd+1_all.deb Size: 5617136 SHA256: 8bd356916406ac6cd32400a0f84f7c961c575e597f1cb27359d8fc3557311155 SHA1: f8ff90471d165b6b6f5364285f5943c8c56b8112 MD5sum: d3ea479e159c72a987a2fcb370b51985 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython 2.x seres with all fresh goodness from the IPython team. It provides IPython2X module thus not conflicting with system-wide installed IPython Package: ipython2x-doc Source: ipython2x Version: 2.0.0+git8-gee204ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12949 Depends: neurodebian-popularity-contest, libjs-jquery, ipython2x (= 2.0.0+git8-gee204ae-1~nd+1) Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython2x/ipython2x-doc_2.0.0+git8-gee204ae-1~nd+1_all.deb Size: 4678124 SHA256: b5c017712653a30fa8a62aaa8601c3b9146f3c63184419ef17121da49c38e864 SHA1: 571824bad0b488d73fdc42eac1a4fe70bb10d9f6 MD5sum: 855a4ce18a4ed06cef96e0796756cdd6 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython 2.x. It provides IPython2X module thus not conflicting with system-wide installed IPython Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd+1_all.deb Size: 5014 SHA256: 912f3638ef54d138a31d05609f4e92f791abe30ad5df28d5e39c45c8d55fb258 SHA1: 9868caa57e8404a539336933627057b221713c81 MD5sum: 10f20c9b72aefdbd2b0e54ab0cfd049c Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: ismrmrd-tools Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd+1), libboost-program-options1.58.0, libc6 (>= 2.4), libfftw3-single3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-tools_1.3.2-1~nd+1_i386.deb Size: 127562 SHA256: 1638d85e45d6f03e18b9e4a49e4619742e5ab6cdf2df612f28264c5cad345700 SHA1: b1dd8b6f4a2816005323836814a77e6c8c5b914f MD5sum: e8ffd807637ea3258024e1dd899bc6c6 Description: ISMRM Raw Data format (ISMRMRD) - binaries The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the binaries. Package: isympy-common Source: sympy Version: 1.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 211 Depends: neurodebian-popularity-contest, python:any | python:any Recommends: isympy | isympy3 Conflicts: isympy (<< 1.0-2) Breaks: python-sympy (<< 0.7.5-4) Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy-common_1.3-1~nd+1_all.deb Size: 186572 SHA256: ecb8acb472b37f72eff0ae96c12fda6d8cfdbc930f31ace8a6f89725511fb47c SHA1: 1920feffdf5bd7a875f40adafca064aaf361705a MD5sum: 206ca20d3f561305be3ed9bf62b68e29 Description: Python shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This support package contains the common isympy python script, a wrapper for SymPy which can be invoked with either python2 or python3. . Install the isympy or isympy3 package to ensure all required dependencies are loaded. Package: isympy3 Source: sympy Version: 1.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Enhances: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.3-1~nd+1_all.deb Size: 8336 SHA256: 9e9e4f4bd7ba50912dabfb53344ea2b6165128ddd1dd6573ab7ce7b0581593ad SHA1: 4e2dad06767b1387a84d597295a0336d5a3b7854 MD5sum: 798f605dfff9a20aed53a17727aaa373 Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: itksnap Version: 2.2.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8384 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfltk1.1 (>= 1.1.8~rc1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit3.20, libmysqlclient16 (>= 5.1.21-1), libstdc++6 (>= 4.6), libvtk5.6 Homepage: http://www.itksnap.org Priority: extra Section: science Filename: pool/main/i/itksnap/itksnap_2.2.0-1~nd+1_i386.deb Size: 3713202 SHA256: ee8d431ea4b156bd68cbac4d62664dd28a4f6fdd43a6b051ba5612289b3ea5bb SHA1: 4522306714a170d99586d46e0ba4c6d3e3521cdd MD5sum: 9a076861dd476f430ab046505dd96665 Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: klustakwik Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd+1_i386.deb Size: 22222 SHA256: 3a8a7c9a6cbfabe70beb2a4890a10351841638b063901f246cd46f884e9ba4a2 SHA1: ab91c634e1089a5dfff7d7fe9898191500cd4f0c MD5sum: 8871c4844a656a33a798f48911627775 Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1359 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd+1_i386.deb Size: 311940 SHA256: 7093113c0377754321635bc1d9f2d032fd53cb9d305236b18509704bd080ac6d SHA1: 88cf3c71439dbdf3356ce48740bc5c007c61bbcd MD5sum: f51d7d4b92a5254a758dfd5821dfbd9a Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 823 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd+1_i386.deb Size: 278336 SHA256: 37dc35cc4dc25850c8f451b67f4d34a3e4b278badd3d3ab86ca4caa08c6e6f50 SHA1: 6e1d342ed63f46164132a6fdd51b50934775535e MD5sum: 10f1c4e8991c6a9fa1550ef14e585012 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig1-dbg Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd+1_i386.deb Size: 70504 SHA256: 8972c9ba94e5ae7700de99c678ce7805d9b3fb6833bb51db572db44834ce5c50 SHA1: b78954bba88530668268bd3d6b548dd344a952e9 MD5sum: e9946b3b6c469d94f6eaca0f5f696726 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd+1_i386.deb Size: 17388 SHA256: 696afb9d21de3d90521d1f662bfefc3c55f8a9cac5523406e902d2481ba786e3 SHA1: 2b40fad1168ba0ed796cf3c77c794dccecde416a MD5sum: 7c8b35c7ee72a6f053db55a1c7aa6a81 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd+1_i386.deb Size: 37302 SHA256: 61cb5cbe90a3a12434bfbff96a06c2a13648f4d2c4346022ef3e9fe552309020 SHA1: fc14bc084e8be117398dd3bb251f4d9e774e1134 MD5sum: 5c9d5855e3f81f29acd65f71d03b0502 Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1194 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.3~dfsg.1-5~nd+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 260818 SHA256: 57ed49ba0ea7b33ababb2415cf1f90b7e4b31d369de7d1ee6735ece169173bbe SHA1: 8119e6715205a09b4e1fa8b6e86d0a40456b5c2a MD5sum: b510cacb3ed2170b31fa22f6a7df6777 Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad3 Source: condor Version: 7.8.8~dfsg.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 821 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libpcre3 (>= 8.10), libstdc++6 (>= 4.6) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: science Filename: pool/main/c/condor/libclassad3_7.8.8~dfsg.1-2~nd+1_i386.deb Size: 272394 SHA256: a8d74a655e9a62dc2f0ae58026fb2c662f80ebf4978fd012c9325625888e32a4 SHA1: d09030d1648f3aa8ddc3356f05f98a80097b62d4 MD5sum: 579acf8ec63d49b27c00bbfd003b40e6 Description: Condor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of Condor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the Condor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libclassad7 Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 8.35), libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 205496 SHA256: 2f24834746bddf80caacd71a2405f05fe73a2ec96d19aadd777757690dccb1b7 SHA1: 9664204802a510f7bf49ffeaa0f2ef27f401c76c MD5sum: c9a99a73cdb80fa0419f8b091dc30930 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libcnrun2 Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 276 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.1.0-1~nd+1_i386.deb Size: 90416 SHA256: 8a3c646f9469e89c76ead09f3c1c0eaad235ee5cf1a6d34ecc7583fc6886d0c5 SHA1: c41e5bed105ac275fbf4af84c4499fbcc90ecd01 MD5sum: 26d89347571f0e40827c4ff1ed2cff9a Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dbgsym Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 940 Depends: libcnrun2 (= 2.1.0-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.1.0-1~nd+1_i386.deb Size: 915206 SHA256: 6a1542e58c67e811329a30a58c4ac09eff8f9f41d68ebe955a40d192930b1fd2 SHA1: c4f614f5c56e69e244926fab9162ff7b614ebfae MD5sum: bb71dbbd9f69f6a6c0d0077e32571074 Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 468ea1ef75994bb548714d20ab605d038e5a89b0 Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.1.0-1~nd+1_i386.deb Size: 25236 SHA256: 197c687cf17ec43f8b2fb38479853789d4680cd8032da6b5cf5d9ebfddba6cf5 SHA1: edab0407a5b7f956c060a2b22b0e1f1168b7eaed MD5sum: 0e734f24764e781937a4aa7ea0b25d0e Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libdebhelper-perl Source: debhelper Version: 13.11.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 312 Depends: neurodebian-popularity-contest, perl:any Breaks: debhelper (<< 12.6~) Replaces: debhelper (<< 12.6~) Multi-Arch: foreign Priority: optional Section: perl Filename: pool/main/d/debhelper/libdebhelper-perl_13.11.4~nd+1_all.deb Size: 81372 SHA256: 2caa9e5e05fa152e9da3f2ad83074afde55f04c11af61d95e0c06acdb01380ea SHA1: c9a85364de8369e1ffb55b86a04b1006995323ae MD5sum: 294fd0658dd9c765f25cb80c3f449aa6 Description: debhelper perl modules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. . This package provides the perl modules used by the scripts in debhelper. Package: libdmtcpaware-dev Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.5-1~nd+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.5-1~nd+1_i386.deb Size: 7282 SHA256: 3114ea416ae1844b775a7e82d92507dc190c40cf31c9d69d7830d29fb4cf3493 SHA1: fc30c2a7eba7132d222805dc8b08e27e3a5c55d1 MD5sum: 8c675b004df729d3d67b47af7cb48628 Description: DMTCP programming interface -- developer package DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libraries for developing applications that need to interact with dmtcp. Package: libdmtcpaware1 Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.1.3) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.5-1~nd+1_i386.deb Size: 7240 SHA256: cffa1013d9d2b7e145b1a0af9c72466de629e38a1929e7bcff19d5d2efc2f7fd SHA1: b8dd5604608d1fa1d7455734a8feacbaad82d214 MD5sum: 5773defb9ee4f32181011fbd8b54881f Description: DMTCP programming interface DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides a programming interface to allow checkpointed applications to interact with dmtcp. Package: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd+1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: debug Filename: pool/main/d/double-conversion/libdouble-conversion-dbg_2.0.1-1~nd+1_i386.deb Size: 96494 SHA256: 4cadf7053bd4212c593ab26b3c243935f737029eba54e4739e385c5c922489c8 SHA1: 52d83d6ddb367c4bf4f941c9ec5cb472166d2645 MD5sum: 7200e44726dd1465c91ca582de5849af Description: routines to convert IEEE floats to and from strings (debugging symbols) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains the detached debugging symbols of the library. Package: libdouble-conversion-dev Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd+1_i386.deb Size: 49986 SHA256: 5250eaa5efa0b9f64533ba8cd5594f32c44592a3d2eebce94ccd2ea4deba7365 SHA1: 21db3849c19720852cb789401b632042ffb91b33 MD5sum: df75f90ad747d9cbefc4894fc5364339 Description: routines to convert IEEE floats to and from strings (development files) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a static version of the library and development headers. Package: libdouble-conversion1 Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: libs Filename: pool/main/d/double-conversion/libdouble-conversion1_2.0.1-1~nd+1_i386.deb Size: 34526 SHA256: 629ef83ce8f3080dc2d7b777ba088bab16c236d00551b8daa4f355cf44b9f8e8 SHA1: 77a0116bbf867f82291a29980d9ef6b019c5d1f6 MD5sum: 934e605408c5290386543e74c6cef8a6 Description: routines to convert IEEE floats to and from strings This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a shared version of the library. Package: libdrawtk-dev Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_2.0-2~nd+1_i386.deb Size: 43592 SHA256: 59b423bc9c341c44d0a5fa82e07b89ef815d48da5214f81fdbd899bb4a4bb999 SHA1: abc2fc3ed766debb9bf3586e8116e2ff430bbba7 MD5sum: a171f8b460c6394928c10630428b9b0e Description: Library to simple and efficient 2D drawings (development files) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package contains the files needed to compile and link programs which use drawtk. Package: libdrawtk0 Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.9.0), libfreeimage3, libfreetype6 (>= 2.2.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.25), libsdl1.2debian (>= 1.2.11) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_2.0-2~nd+1_i386.deb Size: 36170 SHA256: cca62a908bd5c3eea685168e6c88a41d4b051ae2d07c98e5bcc57e1e537eb544 SHA1: 4243555e3cbf229c9d217ad036456a8f79b6adf9 MD5sum: 3c52518274b30a883a1f484b9531f1cf Description: Library to simple and efficient 2D drawings This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. Package: libdrawtk0-dbg Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_2.0-2~nd+1_i386.deb Size: 75210 SHA256: c088677a9a37468544df621dd88fff718b2830a695a20625215eeec7ad55371b SHA1: 3c48c5bc4dbcd6b17df0bb95360fed974a5ab5fe MD5sum: abc345b37dac6539472ad817c5139f9b Description: Library to simple and efficient 2D drawings (debugging symbols) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package provides the debugging symbols for the library. Package: libedac-dev Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd+1) Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git16-g8fdc1d4-1~nd+1_i386.deb Size: 14996 SHA256: 156348b9cbaf06ca957d9293b2050a3b6d6966de9c8a37175e8b0c00abb4f9c0 SHA1: 216f84107e3fa3f207d0ee3fac9ec7dac17446d4 MD5sum: 528ace04cb32174f400d2f9471b79422 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 (>= 2.1.0) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18+git16-g8fdc1d4-1~nd+1_i386.deb Size: 10788 SHA256: d0612ea41eb7af758b2d34d14c063d3cc5fe5fbf43ac9abe336f203f7dd279f8 SHA1: c65e8de27fafbea58cf72e706189e08c2be88784 MD5sum: 5d03460f1d062ae0f9a866767a7f5037 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 65 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd+1) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18+git16-g8fdc1d4-1~nd+1_i386.deb Size: 33452 SHA256: f2b8883ec40a425f11020df9bd7f0ec11474580dc880d011653a0e4b0a206f26 SHA1: 90776f6d941242663e32f43d50d9476b3965522a MD5sum: 5179b5fc7fa7166a8e5ea45d3ea32519 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Build-Ids: 359478c8208a319fa359bb7ba42458a174a3665d b454b335df779b69ad54b8226d015a149da00a28 Package: libeegdev-dev Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.2-3~nd+1_i386.deb Size: 22432 SHA256: 300c9abe3e8e005196aaba299f05dcb8dc5cbfb565254732aaf5e1d1240cada9 SHA1: 5b6887419f86b1c483fbc8ffcc00989e98613fe3 MD5sum: 9385ee88bf5c1f6aac96a84da7157fb9 Description: Biosignal acquisition device library (Developement files) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the files needed to compile and link programs which use eegdev. Its provides also the headers neeeded to develop new device plugins. The manpages and examples are shipped in this package. Package: libeegdev0 Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~) Recommends: eegdev-plugins-free Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.2-3~nd+1_i386.deb Size: 45122 SHA256: 45eccd87e944d611d30e85b778402c604fd44abf33c2dea2d04eb306e13ace52 SHA1: caa98fe7a8fe46e4f8100ff19082b9fdbcb22f94 MD5sum: d14c6bdcaaa06c237ee92d7e86d2a273 Description: Biosignal acquisition device library eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the core library Package: libeegdev0-dbg Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 176 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.2-3~nd+1_i386.deb Size: 160740 SHA256: 301e6d569fdcf9f9d3b11db5f379684b0ff7b4a8d431d3237827a65e184f0c66 SHA1: 3396b5e5dd31957b8802e59f13b13ea9ee8a6b92 MD5sum: 5e0b73265664e153e658f78c70caf870 Description: Biosignal acquisition device library (Debugging symbols) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package provides the debugging symbols for the library. Package: libeigen3-dev Source: eigen3 Version: 3.0.1-1.1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3412 Depends: neurodebian-popularity-contest Suggests: libeigen3-doc Homepage: http://eigen.tuxfamily.org Priority: extra Section: libdevel Filename: pool/main/e/eigen3/libeigen3-dev_3.0.1-1.1~nd+1_i386.deb Size: 509858 SHA256: 909e1043ad2416db965f55c97e50ab2684a23e884798720469f31e764802ffe0 SHA1: 43d8557b93fccacca3276a6b6d07302d6de348a1 MD5sum: f3d2f35ad0abdd843e12f2aba86c78e6 Description: lightweight C++ template library for linear algebra Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . Unlike most other linear algebra libraries, Eigen 3 focuses on the simple mathematical needs of applications: games and other OpenGL apps, spreadsheets and other office apps, etc. Eigen 3 is dedicated to providing optimal speed with GCC. A lot of improvements since 2-nd version of Eigen. Package: libeigen3-doc Source: eigen3 Version: 3.0.1-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10344 Depends: neurodebian-popularity-contest, ttf-freefont, libjs-jquery Suggests: libeigen3-dev Homepage: http://eigen.tuxfamily.org Priority: extra Section: doc Filename: pool/main/e/eigen3/libeigen3-doc_3.0.1-1.1~nd+1_all.deb Size: 2377404 SHA256: c6e5364649cf5f6b1db3f3ae2ba998964c4fe8f2eb419b325c156d12f699ebba SHA1: 43b49a1ec0f5cb0655454679d1d1655729ff6721 MD5sum: bd7d512332aa9a1e81f26066dcd42be1 Description: eigen3 API docmentation Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . This package provides the complete eigen3 API documentation in HTML format. Package: libexempi-dev Source: exempi Version: 2.4.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3570 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd+1) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libdevel Filename: pool/main/e/exempi/libexempi-dev_2.4.1-1~nd+1_i386.deb Size: 750212 SHA256: ac6ec893861f8a3500f83d4982c1b9928763497bbc407f04e7359ebc7d2cf1b5 SHA1: 4a7a90a0cf3797d8b2c326505fb13458db759133 MD5sum: 64d6c51a79de541a84ec8287cd612e77 Description: library to parse XMP metadata (Development files) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides development files for using exempi. Package: libexempi3 Source: exempi Version: 2.4.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1754 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libexpat1 (>= 2.0.1), libgcc-s1 (>= 7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libs Filename: pool/main/e/exempi/libexempi3_2.4.1-1~nd+1_i386.deb Size: 601684 SHA256: 7263393785374321ce42c73cd8df5da08c7ef7a64a58d9d14c7117ba40308c55 SHA1: 50f4eeae063fa0d86466d2e8e6fc64ad2f93b306 MD5sum: 855c6078cb573fe74d14d23a4dfafd48 Description: library to parse XMP metadata (Library) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. Package: libexempi3-dbgsym Source: exempi Version: 2.4.1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7406 Depends: libexempi3 (= 2.4.1-1~nd+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/e/exempi/libexempi3-dbgsym_2.4.1-1~nd+1_i386.deb Size: 7544184 SHA256: 2b864fc09b7aa766c20daff62a406fea6a1ae32646c2dde9eef8442e990dc7b1 SHA1: 1d95830396cdf3689c8dae89ede79aede7cc67e7 MD5sum: a4acf8e82aa1c268885737885bf32372 Description: debug symbols for libexempi3 Build-Ids: 719690e319fc83f5be89af9c1404c46d74580569 Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6549 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libfreeipmi16 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd+1_i386.deb Size: 904104 SHA256: 2f5459acaa0a045bf28bd2ef1b847f0ef8d29ffd3450eb2dadbc1879a1765362 SHA1: 9aaf91684bd1459ba7256f2a467419922a6ea1d6 MD5sum: b29e109bd0abdd5c3fc9d6e0d23897ba Description: GNU IPMI - development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libfreeipmi. Package: libfreeipmi12 Source: freeipmi Version: 1.1.5-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3825 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcrypt11 (>= 1.4.5), freeipmi-common (= 1.1.5-3~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi12_1.1.5-3~nd+1_i386.deb Size: 986910 SHA256: 545a2a9ac685438d480f03401d75a8c16982402ad12e83f9db192393171bd758 SHA1: bfba6bbeba5f8262da04b12213deeb7968e1e54e MD5sum: e149c4978326c3233658f8af048ba31d Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4255 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.6.1), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd+1_i386.deb Size: 747072 SHA256: 98b84a7ff8a4e84d347d86f30da1f47819ddcdfcecd4ddbd63a8ed1df059c7b8 SHA1: 264875cd346a71b62efc30f11d58f57d9b6355a8 MD5sum: fc71438d9792b3f46c9911c2a7ce6dd5 Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreenect-bin Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 291 Depends: neurodebian-popularity-contest, freeglut3 (>= 2.8.1), libc6 (>= 2.34), libfreenect0.5 (>= 1:0.5.2), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5.2) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.3-3~nd+1_i386.deb Size: 56936 SHA256: dd4307a76060083921c5cdb6a4a20161b69b9aa657bf2ec028e4d97ecde90c14 SHA1: 6dad1d07e0425726ccf651becc31aa7279e3c12d MD5sum: 794af536fa17349e09aafb1d61a36064 Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-bin-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 351 Depends: libfreenect-bin (= 1:0.5.3-3~nd+1) Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect-bin-dbgsym_0.5.3-3~nd+1_i386.deb Size: 262856 SHA256: 46d465e501841bf9bb7c6eb9936afd181e093efd0a0c3af282cb63de7cda746d SHA1: 4856202cbf48cee610ab872a24bebbfa7cd55701 MD5sum: 6cc12912edcae12ae8c4e41bdbbcc167 Description: debug symbols for libfreenect-bin Build-Ids: 202b63e38e1a2958b8de1274f6948cd672dd32bc 456b1af3284511606985fc0a86d7e0b5b3de3cbf 5d788006cdf67467e9599b2cee2552b08526992a 78553edee7dd309285f040d6009a13be4aee35e5 90e0346e68969e6cd476b30ed8b25dacf4adf91c 916fbdc3276103aaac88c591acf7eb9a43f20394 bb4124ee5c8748bc91ff497fa2590327d521a4c8 c0ed656844694f7e68150daaaab9768b3b37c7ca cba002a7b57afba3125a31ecd7f66a237026035e e7d7c4387f2c4ef8ab20ea23546169d5b6f2cefc f2957ddb32ac7c7f40baff474f5d7fd26719ff02 f385326dd17593c657f78947e7a2396865a9c7ee fd055c78665bb2b72536c6c8b3c72d8174008d2a Package: libfreenect-demos Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.3-3~nd+1_i386.deb Size: 9048 SHA256: f86b8aafc7b6a1928228798548d069f387551fa0c62e7326060d57474545f791 SHA1: 26c9b16023685f5d75b1f0c2ab5ea211672c7f84 MD5sum: c7f0bfa455e290ebde7118562830e4e1 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.3-3~nd+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.3-3~nd+1_i386.deb Size: 19796 SHA256: 0d1d895097eb3309ac4583ea333a065a0edc25fef2efa2d530879f0b2aeb4c2b SHA1: d8026fd3d0b8aba6e5b042a43b1f142c55329eac MD5sum: 17f758d7f195b3bd455b4919542bfc3a Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 931 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd+1_all.deb Size: 146316 SHA256: 12492e4bcab2b911c04a608016f0dc7e0699311474636b3f3313d09c1cf43f67 SHA1: 866b8f026ac8b7cd00057d2543c71850febfb3c2 MD5sum: 30c51173521a5a9040a2f28fc53b3b06 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.8) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd+1_i386.deb Size: 36842 SHA256: d0183a2e54c1eaee15d64f6ca5414e075993d660a0bcf48f838ed8a4d2eb5d4e SHA1: e326200e76fed64b70b2d7eeebb2e3ae94fe46b2 MD5sum: 6c7932a4e7eaca1d613cc97608c84c89 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.3-3~nd+1_i386.deb Size: 45696 SHA256: 74586135302ac5e990449832ebc11fc4f575c4977c5959965eecf6fcd08558d2 SHA1: fb3d9ba024fe6c8138d6acf5e2791003cf90b423 MD5sum: a5022b80b7c8142d73cf12d56e6a5dd4 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: libfreenect0.5 (= 1:0.5.3-3~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect0.5-dbgsym_0.5.3-3~nd+1_i386.deb Size: 87212 SHA256: 34e481add8beeb97051a6f0268f5f60706e885f0c847f7569bc56e9de894cb44 SHA1: b0c3a812b90c4e2cafc443231599a09a52dc47aa MD5sum: c479870a5d4b7eaa69d6f89d55e19026 Description: debug symbols for libfreenect0.5 Build-Ids: 38c3ffe3baf655a5c70cba1a6305b352e8921018 e2398bc364528b44939f83bf165408b1f909f681 eb5eeb1260e4e5db780e305bd8dbc13e1c271fe7 Package: libgdf-dev Source: libgdf Version: 0.1.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd+1_i386.deb Size: 21108 SHA256: e290286aa16335cd10de3fcff51f6972690856b67b8898172a8afc1ae5eec615 SHA1: eb907a8b94b23c63ac7794dac4e82069fcb1c04c MD5sum: 4a4bf4b81972abac01f237fd19db1b29 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 337 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.3-3~nd+1_i386.deb Size: 101892 SHA256: 2a5cf01cbe3f88beb088a5dd95ad2dd9d4c4bd9df10a2e343cda3bf063f359fd SHA1: 02fceb769eebaf103eb11fcb22c8feb933e30440 MD5sum: 907eae58728a6e41d3ca5016f5937c16 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1826 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd+1_i386.deb Size: 517766 SHA256: d1b744f6321699a9312e4bb67fde5cf4e00c1bc238aded59d54dc6db7f13ab11 SHA1: 057677bbd5a55ec916a9a078571420e10e251612 MD5sum: 487f66992862793b9054614a0dc6ddbe Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libgdf0-dbgsym Source: libgdf Version: 0.1.3-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1238 Depends: libgdf0 (= 0.1.3-3~nd+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbgsym_0.1.3-3~nd+1_i386.deb Size: 1190828 SHA256: fe96d07c2b170f4b5bb2a974c732f56718fc0cebd85726b79d40c0d42a26dab4 SHA1: a80e9aee4bff085cc27b68b029f66f48247ee34f MD5sum: 3a7277c7815b0ed64bb0b6885454bb95 Description: debug symbols for libgdf0 Build-Ids: c3c2cdb09d9e5ca331b560fb3b53e4f26eccd9a9 Package: libghc-filepath-bytestring-dev Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, libghc-base-dev-4.12.0.0-701e2, libghc-bytestring-dev-0.10.8.2-ab20c, libghc-unix-dev-2.7.2.2-58a43, libatomic1 (>= 4.8), libc6 (>= 2.3.6-6~), libgmp10 Suggests: libghc-filepath-bytestring-doc, libghc-filepath-bytestring-prof Provides: libghc-filepath-bytestring-dev-1.4.2.1.6-7013d Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-dev_1.4.2.1.6-1~nd+1_i386.deb Size: 113664 SHA256: 7d6d522e6a48da5255d2de6dea7048bc99d1525929122345cac55bb67158e99f SHA1: 1fb54a1a1f73060fd1182eac7690c37be35b92dc MD5sum: 243dd43b092e7ed0f45b0ccfb53dc1f1 Description: library for manipulating RawFilePaths This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: filepath-bytestring-1.4.2.1.6-JG1ionhTkeY9tIU6uUlDg Package: libghc-filepath-bytestring-doc Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, haddock-interface-33 Recommends: ghc-doc, libjs-mathjax Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: doc Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-doc_1.4.2.1.6-1~nd+1_all.deb Size: 61760 SHA256: 70636ed5f40b27fd59e6ae43be02e9ff49dbd7872da370eeaeace22bed6b038a SHA1: f234114ff23a5a58490e7076ad37837dd84e416c MD5sum: 17e094cc233f19738962b006a9d2a0e2 Description: library for manipulating RawFilePaths; documentation This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-filepath-bytestring-prof Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 602 Depends: neurodebian-popularity-contest, libghc-filepath-bytestring-dev (= 1.4.2.1.6-1~nd+1), libghc-base-prof-4.12.0.0-701e2, libghc-bytestring-prof-0.10.8.2-ab20c, libghc-unix-prof-2.7.2.2-58a43 Provides: libghc-filepath-bytestring-prof-1.4.2.1.6-7013d Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-prof_1.4.2.1.6-1~nd+1_i386.deb Size: 88932 SHA256: a8e6b7219a7d9ad8f6175c46edcf830d554c31cea9597334ed14fe920ed664fe SHA1: f8216ee8cbbf682805ade13dce6084d636c2cc1d MD5sum: 7fe4826f36a2156dabae7e5c78881c7a Description: library for manipulating RawFilePaths; profiling libraries This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd+1), libnifti-dev Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-2~nd+1_i386.deb Size: 49548 SHA256: 82c26270a92cc63e8e93f0c3113f1b9223e73d8fceb640a0353a0be0d2abeffe SHA1: ce56020a7ab18f0b2a19ad4bad696472b4c184ac MD5sum: e285e4c082b4ad659a6c5624b9713203 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libexpat1 (>= 2.0.1), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-2~nd+1_i386.deb Size: 44468 SHA256: 18f655d24273a0a8b42b9df0f567d7ce696e0f0c13cc8aa1107bd0915c808bdf SHA1: e9bcd36a45dd51bac096dda9aa38bd4fae98a637 MD5sum: ec2f318a520c34bf8a45aac3e35bbada Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libgiftiio0-dbgsym Source: gifticlib Version: 1.0.9-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: libgiftiio0 (= 1.0.9-2~nd+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd+1_i386.deb Size: 5452 SHA256: 03d5275262a8ec45ebaacb8485882a538d2dd642532299f9bb5cb7e6d0149e83 SHA1: b32d4a812d32ea9dd26b3e5ab7c0ceed6e347a05 MD5sum: 155f088ccc7b74be215a65455d937874 Description: debug symbols for libgiftiio0 Build-Ids: b9eeb4e028cac9d6debbc7861c3a56c99d4d9b13 Package: libglew1.6 Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.6_1.6.0-2~nd+1_i386.deb Size: 124948 SHA256: b5c38a1fc37b5c89914279f639f904d01191d89c688fe9be9b5ecc70b8e0748c SHA1: cc83f68f07135220d6cb6d7a01c788f9fe7c12ea MD5sum: fac83a15cbda703f27f86b9f8306619c Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.6-dev Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1352 Depends: neurodebian-popularity-contest, libglew1.6 (= 1.6.0-2~nd+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.5-dev Provides: libglew-dev, libglew1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.6-dev_1.6.0-2~nd+1_i386.deb Size: 242360 SHA256: 3348a4c57bde72fb137308467f9ac6c5c0eebe85ced4b32fa8af3adc5db9fc43 SHA1: 8348eeedce69c4f7e6f52f69fca3e261b294766a MD5sum: efe7526877b82ac11f527d548633b149 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development documentation as well as the required header files. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 542 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd+1_i386.deb Size: 166946 SHA256: 10083e5c8291f72f2047eb125465cee9d665e464e9b435004c9b5f15b92f01ac SHA1: c7fbb74380fcd25984e27a3c06e2cc5d7dfab06c MD5sum: 05a1a3423f9619899cee2edf4f91648f Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd+1_i386.deb Size: 40132 SHA256: b232e2c9858023f49a1a6a8215371a67f8b857e2f56f87a7a887dc777194b9a5 SHA1: bd2209ea56c5a5ec2830aba19fbe23c881f87323 MD5sum: 7a13183ab00a781935bc5448fe5767f4 Description: OpenGL Extension Wrangler (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglew1.9. Package: libglew1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1000 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd+1), libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.6-dev Provides: libglew1.5-dev, libglew1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.9-dev_1.9.0-3~bnd1~nd+1_i386.deb Size: 153202 SHA256: ca77b4fb51ee0e460d0f9d6968496ec632a299ad1da90fe14e75ac904f4fa756 SHA1: b7949b3026c0fc0fe6396b8d8a13639b29e7d49b MD5sum: 68564ef53f018a7ab2de5da3270abdf3 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.6 Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 356 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.6_1.6.0-2~nd+1_i386.deb Size: 111264 SHA256: 267da2b1ae040171f41b0cf50c9ff244cf18de2f9969ca56664e2cbfbf6be2ce SHA1: cd6981af73291595f59d0e62948d55ca2f95a0a6 MD5sum: f8047a36cc7041c9e4ffde49e4ff004e Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.6-dev Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 396 Depends: neurodebian-popularity-contest, libglew-dev, libglewmx1.6 (= 1.6.0-2~nd+1) Conflicts: libglewmx-dev, libglewmx1.5-dev Provides: libglewmx-dev, libglewmx1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.6-dev_1.6.0-2~nd+1_i386.deb Size: 98448 SHA256: eba45211faabc612c2e6677e25f48d305318eb888c08d4cb6d02124420df2fdc SHA1: 6781cac3c04e412befe3d919d14ab19c858fd3d2 MD5sum: fcb4e28e11df5ea2e73be09b50b63ceb Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development libraries compiled with GLEW_MX Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 482 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd+1_i386.deb Size: 148618 SHA256: 62c3c1add762090894857c36b02c077d31645198ced50da7e545f9ed0b9d729b SHA1: 05a0a2041a1ca9ba45bcd4c584a3591c295ca3ff MD5sum: de64e2b21c5b2d3a5a605199d94f0228 Description: OpenGL Extension Wrangler (Multiple Rendering Contexts) For more information about GLEW please refer to the description of the libglewmx-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd+1_i386.deb Size: 32298 SHA256: b2141727efc03dee81ea908b357bb63d797879e2a18e27ec60518502f1dea68d SHA1: 0d5e4f36dc7c86acb364f06b90a768039a2545b0 MD5sum: 04f4962f1a712c54efb87d771d3d8830 Description: OpenGL Extension Wrangler MX (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglewmx1.9. Package: libglewmx1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd+1) Conflicts: libglewmx-dev, libglewmx1.6-dev Provides: libglewmx1.5-dev, libglewmx1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.9-dev_1.9.0-3~bnd1~nd+1_i386.deb Size: 8804 SHA256: a8b79ec9c71b53e547e58eb385a034564de03cabbcf0fcd614b0746d8f5edfbc SHA1: f3585450e06c7317e43235e55bac462c2678699a MD5sum: a7b1d4b879185826ecc461f811bd4c90 Description: OpenGL Extension Wrangler MX - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development libraries compiled with GLEW_MX. Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd+1_all.deb Size: 175896 SHA256: 7a056ee29b4f23950837b5032c725f0b0a5dee869fef55b61d905c269f20fc35 SHA1: 210d9e85335f7cb1537bfa87cd17262ea1ffb812 MD5sum: 7125d0f1756057f3672fa26e5328d372 Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd+1_all.deb Size: 498884 SHA256: ce495c5c12fe38fd7f4b853caa3d67dc19be0c2bb0cafce7b2400bab0be7e0e7 SHA1: 9d47c123b008c01db91d97f6ed1ca71b392677ba MD5sum: 6af6e7d11eea194ede0fe74a5803dd4f Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 90 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp1 (>= 1.0.1), libguac5, libogg0 (>= 1.0rc3), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2), ghostscript Recommends: libfreerdp-plugins-standard Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-rdp0_0.8.3-1~nd+1_i386.deb Size: 28056 SHA256: 9c354180799cbfab7e3444ce6fb38731a5bbebc805615d97be7ca0de7856e11b SHA1: 274f9f053223f3302f4d4b98d87d4543166ecb37 MD5sum: 277cdeded87fa9dc42382f2a2c02ad26 Description: RDP support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the RDP protocol (Windows Remote Desktop). Package: libguac-client-ssh0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libguac5, libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libssh-4 (>= 0.3.91) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-ssh0_0.8.3-1~nd+1_i386.deb Size: 22188 SHA256: 0c4abf67b5771f366f02b559bef9b20602a2660c6bdec39f6cd9633519719c59 SHA1: 81da341b05ebcab2d5fe13c77685daf41e53082d MD5sum: 808a27bc6795539b620b314524b16e77 Description: SSH support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the SSH protocol. Package: libguac-client-vnc0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncserver0 Recommends: vnc4server Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-vnc0_0.8.3-1~nd+1_i386.deb Size: 10572 SHA256: 2366887d3cfbb65fe7e985462a685bc1b0cec432d6cdbfd1d3f914430e52af64 SHA1: de1780739a65ca59824e5bf043c59be7050314dd MD5sum: bfec4447b2f5fc25c0ba1468d8437199 Description: VNC support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd+1) Replaces: libguac1-dev Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libdevel Filename: pool/main/g/guacamole-server/libguac-dev_0.8.3-1~nd+1_i386.deb Size: 35280 SHA256: 92c5a523022796d8bdf9e402988e8cb92ace539e6d6f8ad61ce763503c62a0ab SHA1: db529c6dee48a6dd7db2357c38ff9d40a769aea5 MD5sum: 9425107d61c5e0492946016e083a8f90 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac3 Source: libguac Version: 0.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-2~nd+1_i386.deb Size: 18890 SHA256: 86348c446993678aa3f38cf35a8b37d9777ae9665eab6a37b286af54aa3f175b SHA1: d505004dd599adf431d9ae269caaf0c6ba748c05 MD5sum: db510f2b2818037b7351e207caeda069 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac5 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libogg0 (>= 1.0rc3), libpng12-0 (>= 1.2.13-4), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac5_0.8.3-1~nd+1_i386.deb Size: 21518 SHA256: 2fb987b61b3f5f31b94c63dd4f3bd269738171530d1c3850a51c0f0d9f194476 SHA1: f4b0f55835fb2e4d5aae71090decf21cd6ac7949 MD5sum: 4e8ba83ac6c00b35f328c2227d45c5cd Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38849 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd+1_i386.deb Size: 34852224 SHA256: 4a6dfefe7e580a4921822f51cdb16a448ab4e3b919d54f3cf3780712b88876f4 SHA1: 47a10dadef8e79a026318ffbb9035b3bb6ae48f8 MD5sum: 5295fcd2438f2ebbd8aad01fc3d00485 Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25366 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd+1_i386.deb Size: 2961636 SHA256: bda358b21dcb7f2e8bfcf01068588550e36d1e1c99742b146d5300fcbcf24587 SHA1: 742f0ba59d779760db22901e4ec48dd6b7778576 MD5sum: aa12782219658864ed939ddc5c8166e5 Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.2 Source: insighttoolkit4 Version: 4.2.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20738 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgdcm2.2, libhdf5-7, libjpeg8 (>= 8c), libminc2-1, libnetcdfc7, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), zlib1g (>= 1:1.2.3.3) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.2_4.2.1-2~nd+1_i386.deb Size: 6986978 SHA256: 151cbfcff05524aca452d1d37464ae83d5afaabaeea840b0c062b2afe88fbdfa SHA1: 807d940faaa08d6b3d5e5bb8272ad38e3898a8f8 MD5sum: 10eb8f0a54e8b57dc5d3f36d9421527e Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23142 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libhdf5-8, libhdf5-cpp-8 (>= 1.8.13), libjpeg62-turbo (>= 1.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd+1_i386.deb Size: 4733552 SHA256: f4af62a4cacd2464b866c09574467b53d28cede4f46bcc8ee6333bf512c4c945 SHA1: 78d5d81638c7bfa8833be6a41cbb7da21049fa0e MD5sum: 0e7519e2d29cb66be85a5de5d041d5a5 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmiconsole2 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd+1_i386.deb Size: 105586 SHA256: b136a874546291eff725c5823f45de68a912d302737a69780b56b71ca66722f9 SHA1: aba28400f1d132617e2e70b680496592a18e040f MD5sum: 2a6dd0e30df393486a40e67e4c26ee03 Description: GNU IPMI - ipmiconsole development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmiconsole. Package: libipmiconsole2 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 317 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd+1_i386.deb Size: 88180 SHA256: cd1ee16233f09d4eae0cdf18d312d58ae65b1a7fe257962498f3b91be3b5e998 SHA1: ee1607b7cebfe780856f87dca34ce4ec063b8d60 MD5sum: 6020a778eb6c1189d450d09bfbe63281 Description: GNU IPMI - Serial-over-Lan library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for Serial-over-Lan (SOL). Package: libipmidetect-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmidetect0 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd+1_i386.deb Size: 33424 SHA256: bd3021e7cd5043bfc40c430151a1d8f3ea52d5ed5756966b8f8b1c5e30964977 SHA1: d23ba807c0c9d8c6bd31d4f363dd60dbc86fe1d3 MD5sum: d22cf23eecca06b4040e3a8dc25338ad Description: GNU IPMI - ipmidetect development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmidetect. Package: libipmidetect0 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd+1_i386.deb Size: 27282 SHA256: 420651386c4c6e7e735aa4d1946a6bad114112e0d4d26943c38af1a41dcefcfc SHA1: f74d91cb15add08abd5b7161930bcbb00595751d MD5sum: 92276e7ccb68ccbf517207ee0e66e892 Description: GNU IPMI - IPMI node detection library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for IPMI node detection. Package: libipmimonitoring-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmimonitoring5a (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd+1_i386.deb Size: 63592 SHA256: 01d3d8b7f3a7a45b64117346b158456e406320723f2869757acb64306088c8c1 SHA1: efbc5841996f0a1c7801ca4a7f69060d1b5261fa MD5sum: 726622eaea3473819d502e67e26c067f Description: GNU IPMI - ipmimonitoring development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmimonitoring. Package: libipmimonitoring5 Source: freeipmi Version: 1.1.5-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi12 (>= 1.1.5), libgcrypt11 (>= 1.4.5) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5_1.1.5-3~nd+1_i386.deb Size: 190428 SHA256: ca60c264815af9fc520208f0b738af8013a2c4237ea38e794857ccfdd389e581 SHA1: e6154a7a228c472bededd4af8c5a696e70b317ea MD5sum: 451099b9ea0551fb8d543c2e73c35848 Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd+1_i386.deb Size: 45520 SHA256: c9e6aab545a18f86d21c7d7e9e8930819f8406d389d343243496e6687baaec8f SHA1: 0bda9c6268e1530a6a926d73060dae509dadf6bf MD5sum: 80a1baa2a12bddf288df5b400abad5af Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libismrmrd-dev Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd+1_i386.deb Size: 13790 SHA256: d5d26ff0d4b103d08b092fc2e3cd760bc4e6f4e73d90e748378778aee55e142d SHA1: 977f8794f8f48bee1e3033427dd5215df7f9266e MD5sum: 49f8bc51f10524419c2063448c9dea02 Description: ISMRM Raw Data format (ISMRMRD) - development files The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the development files. Package: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1987 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd+1_all.deb Size: 158244 SHA256: 731a984503486f267ec68521dd5d3465dce1ba96a6808b77fc7e2345b729de6c SHA1: e3aa32efb2aaec1cdf7169e6a9afcc00afe36e95 MD5sum: 7a48add23e72992c4367c723dd4642f9 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libismrmrd1.3 Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libhdf5-10, libpugixml1v5 (>= 1.4), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/libismrmrd1.3_1.3.2-1~nd+1_i386.deb Size: 84980 SHA256: 3e82dc74318853728ed009adc5858fc6b37354c63ae3ed38bbfff3f427fc26e2 SHA1: aec6217eed75f5347b4bba3d6c396996b9c01039 MD5sum: be59f5ce287a799f5b7de0b0b22ec6dc Description: ISMRM Raw Data format (ISMRMRD) - shared library The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the shared library. Package: libmcpanel-dev Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libdevel Filename: pool/main/m/mcpanel/libmcpanel-dev_0.0-1~nd+1_i386.deb Size: 2398 SHA256: 582341116a9c1295e65358d985a09500981a5f6813849d71f2ab6b90d186b0c3 SHA1: 8172b5b20ab66ac5742722f09925a4edbb0ec89b MD5sum: 7060568c5ea24adc2df430cfa50287c2 Description: Library to display multichannel data in realtime (Developement files) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the files needed to compile and link programs which use mcpanel Package: libmcpanel0 Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.14.0), libgtk2.0-0 (>= 2.14.0), libpango1.0-0 (>= 1.14.0), librtfilter1 (>= 1.0) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libs Filename: pool/main/m/mcpanel/libmcpanel0_0.0-1~nd+1_i386.deb Size: 54096 SHA256: f511819958bc7126de16c38c6950ef7eeb65c9ab3dafeef3be7793a9929284ee SHA1: c2161ef146eea6760d0afec2c3e43fe369f52874 MD5sum: 2d0617ea0933dfbb75e3cac9983b486c Description: Library to display multichannel data in realtime This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. Package: libmcpanel0-dbg Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 279 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: debug Filename: pool/main/m/mcpanel/libmcpanel0-dbg_0.0-1~nd+1_i386.deb Size: 117510 SHA256: 1d4e7ef493804583464c0f92e7419b985a8f1623b9f0bb19ed9014e49979f271 SHA1: e3509edb67d3797b37402051f5bd657c18f423f7 MD5sum: a236d8f042accaacb39d6e321cd1c063 Description: Library to display multichannel data in realtime (Debugging symbols) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the debugging information of the library. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21048 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-serialization1.54.0, libboost-system1.54.0, libboost-test1.54.0, libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.36.2), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd+1_i386.deb Size: 3317292 SHA256: 0b3649ff0583a2fc3b4705df12b0eaf4f5bd81489ab2e9356a2bf0ded053add4 SHA1: 24786bca0cdda14267c7b06b1f23f754e93a643c MD5sum: 390b7cfd8134279864f49837a4d65a5d Description: library for 2D and 3D gray scale image processing libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. Package: libmia-2.0-8-dbg Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60640 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd+1_i386.deb Size: 56021600 SHA256: f531a426254fe4ce8cb8daa1c5f314d600851d082a48e4d90bdb74c096f3b891 SHA1: 9a2149a3a67eca667a1ae6c8d61f0edb59f3f7dd MD5sum: b0a9e5e182261880ae45c91c015677a6 Description: Debug information for the MIA library libmia comprises a set of libraries and plug.ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. libmia is library for general purpouse 2D and 3D gray scale image processing. This package provides the debug information of the library. Package: libmia-2.0-dev Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1093 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1), libxml++2.6-dev (>= 2.34.1), libitpp-dev (>= 4.2), libtbb-dev, libgsl0-dev, libboost-all-dev (>= 1.46.1), libfftw3-dev, libblas-dev Recommends: libmia-2.0-doc Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/m/mia/libmia-2.0-dev_2.0.13-1~nd+1_i386.deb Size: 178158 SHA256: 04b81d0ea5f4b073a657d23156a9fb3a20571e65512ff3f36802d9d49e6b5f5d SHA1: 1da72dd8c775e846fafad57b87e5ee40e90ed0b6 MD5sum: 1010faa21bb46c703e8efd4701fb9063 Description: library for 2D and 3D gray scale image processing, development files libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the development files for the library. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14011 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd+1_all.deb Size: 837904 SHA256: 6efc28d4222b4fb91ba00745e720dcd6ae7588b802cf7b12051065e2f784bcd0 SHA1: e36b5e877dfe57819cadb4ca52228fa321a74390 MD5sum: de045c0e2212f343fde74be4c895c334 Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libmialm-dev Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 268 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd+1_i386.deb Size: 70518 SHA256: 64cc4f11364a8ee9e17d3ff1474e8cd3d94e1e45e1caa123814d74035662a1aa SHA1: b6f26ebf9a11da4a9ca054795f47591fc33aa9d5 MD5sum: 42ea7105b246597b06f6744b57fd5681 Description: Development files for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 233 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd+1_all.deb Size: 21290 SHA256: b0dd34278ad9a52597e66191c62a74baff467c13c2c870179302634477b9c8fa SHA1: 838394dd07ce9586d20f35968c02f61bac4c766f MD5sum: 7eefb55e9ae26db08d0750f3da3ec2a7 Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libmialm3 Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.16.0), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd+1_i386.deb Size: 18198 SHA256: 4f590cd11050dadf11c28842d45f37a991f6ac18a80dcef7fbb2cf10064003d9 SHA1: cec0a2e372de9255759b0d8959e5edf2a0edccdf MD5sum: 33bb0354761ecc76fe48eb4f3bb6b210 Description: Landmark handling for the MIA tool chain This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. Package: libmialm3-dbg Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd+1_i386.deb Size: 52560 SHA256: 03128f970e392d3e2c7737f412078818b4b615fa6cd96cf4f5a83f97b0d42c9b SHA1: 84b20c3536d4b6135081612a5b877c3a9b70ba83 MD5sum: 0fe72837f06e9a1d02ca4edb92e1363b Description: Debug information for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package provides the debug information of the library. Package: libmtcp-dev Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.5-1~nd+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.5-1~nd+1_i386.deb Size: 5556 SHA256: 705fab31b4094fe0c16a31d765704413661791735db70b985ae2f21ab8316234 SHA1: 6d346976b36525dcfdb6a77a76300460b506fcfb MD5sum: dd4b1b4321718fe7dc21c01b600256d7 Description: Developer package for libmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides header files needed for building programs with libmtcp. Package: libmtcp1 Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.5-1~nd+1_i386.deb Size: 40450 SHA256: f65979ac13037fc1396accb347f8d06810ba68d0f9352d5738e2cdc567856098 SHA1: 04ec9cf475cbf9d79d7001592c9b072a573caf77 MD5sum: fa29780d6a1f5efdb95181845dfad046 Description: DMTCP library needed for checkpointing a standalone process DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libmtcp which is needed by DMTCP to checkpoint a single standalone process. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 458 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd+1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-2~nd+1_i386.deb Size: 133648 SHA256: 9d76a570b2c279d0569c8881242a671056457fb7a457d30ae063fec694551f05 SHA1: 179fe2b5fd5f337073cc99a28c060d460bcdd6b4 MD5sum: 14f49c8ddf715757a7847c74db957b1c Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1692 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd+1_all.deb Size: 140120 SHA256: 686d57e91867e23c55f747d863502416f84742afb987fd4ebb04c9c92d37d998 SHA1: 082412016af6c5d134f591ec409101525ab5916d MD5sum: 2e3ad2d99bfd2cebade7b1bcf6aaff07 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 304 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd+1_i386.deb Size: 101612 SHA256: c0b3ea312f2815d1a493866b7ce4b89421833ecb6840388f7a92793caea1b648 SHA1: 4a24f8c2683fffaabc2ea34134dab7a072237bc8 MD5sum: 4bca6528a59a537bfb662ae243484c0d Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libnlopt-dev Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 522 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libdevel Filename: pool/main/n/nlopt/libnlopt-dev_2.4.1+dfsg-1~nd+1_i386.deb Size: 158926 SHA256: 72f34ca36baae5297e5a9dc8cdf60148bcfca0c6cd1f778d0b32f1c910c8225f SHA1: d0e7b3f2ea2333d610b98c0686e67f087a73555c MD5sum: 93e24884ba65d3adc3cf3019e831cb91 Description: nonlinear optimization library -- development package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the header files, static libraries and symbolic links that developers using NLopt library will need. Package: libnlopt-guile0 Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), guile-1.8 Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt-guile0_2.4.1+dfsg-1~nd+1_i386.deb Size: 34510 SHA256: 0715a7b42ce816a0f3f1e79c6681d10a9ecba215c242fdf23e6fb7dfcd917f4a SHA1: c17554d90af81801a10cf4319c011fd013e1599e MD5sum: 7865ee354c9bfb32805825f0a1c6ac6f Description: nonlinear optimization library -- Guile bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the bindings for GNU Guile. Package: libnlopt0 Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 409 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt0_2.4.1+dfsg-1~nd+1_i386.deb Size: 150862 SHA256: 118a5778019147249549fa891032928aa6bedf1d458018b1a0b7768360093e0c SHA1: 4e03b53be3defb745e931e15416061ac5195d368 MD5sum: 8a33c8961f53ea3d251c81c757e4679e Description: nonlinear optimization library NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package provides the shared libraries required to run programs compiled with NLopt. To compile your own programs you also need to install libnlopt-dev. Package: libodin-dev Source: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15881 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.5-1~nd+1_i386.deb Size: 4259724 SHA256: c47fa4b67cd2a752f8614748a49ff4155f3a735c1613068e0de1fd76f248b399 SHA1: e42e59f97fb4ebdc9fc1ce7b06f28f846378e338 MD5sum: 5ba81e6baa0e36dcc7e26fe6888d338a Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenmeeg-dev Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: libdevel Filename: pool/main/o/openmeeg/libopenmeeg-dev_2.0.0.dfsg-4~nd+1_i386.deb Size: 42560 SHA256: d13642574aa69cd7166adc42298f7ea4e76c6a8020eea8b5576a5151412cbaa2 SHA1: 6bd7901f2316d5e76d77f69b9c6f4e48e96a5aff MD5sum: 32ccbcd83cdb7a9b5ad4bb9240032880 Description: openmeeg library -- development files OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides static libraries and header files. Package: libopenmeeg1 Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1286 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libstdc++6 (>= 4.6) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/libopenmeeg1_2.0.0.dfsg-4~nd+1_i386.deb Size: 265164 SHA256: 746f96771611220af49941d3c06e887deae617eb88469ca42b8f01bac0b9c258 SHA1: 2a40bd0cbe781992275cbaa2ec72877142e80bc3 MD5sum: 1bbbc58974bd53c42d10076a0070ecfd Description: library for solving EEG and MEG forward and inverse problems OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides dynamic libraries. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6212 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.54.0, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph99, libopenthreads14, libstdc++6 (>= 4.6) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 1239670 SHA256: 23bfbce2191967ccc98f77cdcedfbb0eaacfdabe6f9fec250f65647944b78815 SHA1: e1988ee6e0d2d0f5741197b2cf7aadd9faf4497a MD5sum: 9f0b8a3a2957b473b1caf33f5f0362b0 Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1997 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 249408 SHA256: 2527c003322bb3d31e26d69be14966adcae3bc5fb423bd2da72c1b431c014448 SHA1: cdf9e1609231abb94685cf413808240497d390e3 MD5sum: eef067eb78cf1d89e811c773111be1d8 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48075 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd+1_all.deb Size: 2681636 SHA256: d042340fe7dcca76e8158aa438e6b3e15ff18b784521652317a66f70e98c397e SHA1: 3b9b8845f6836b1497663e58556a9c2ed9497b4c MD5sum: d3f9e8e06482d3b6b8bca3c09e3737cd Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libopenxr-dev Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 338 Depends: neurodebian-popularity-contest, libopenxr-loader1 (= 1.0.20~dfsg1-1~nd+1) Suggests: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd+1) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: libdevel Filename: pool/main/o/openxr-sdk-source/libopenxr-dev_1.0.20~dfsg1-1~nd+1_i386.deb Size: 48140 SHA256: 8eda41321acf1793861d1e2cc2efe755e5bb9bf98a39b52cd924f54e752b9f8c SHA1: e27d01ce14d545b654ea8835410748000caf1735 MD5sum: d898ee6c8e97d496168b754591188d2c Description: OpenXR software development kit -- development headers OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package includes header files needed for development. Package: libopenxr-loader1 Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 421 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libgcc-s1 (>= 3.0), libjsoncpp25 (>= 1.9.5), libstdc++6 (>= 11) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: libs Filename: pool/main/o/openxr-sdk-source/libopenxr-loader1_1.0.20~dfsg1-1~nd+1_i386.deb Size: 155292 SHA256: df2ada3b89e075f29a623d7be1b91fde84eea3845f428b07b56bc55f195586e4 SHA1: b59bd6aab654a3b81460fad99dc3fb5ded1d6c17 MD5sum: 275caf4775160736ecc9b45dd0342e39 Description: OpenXR loader library OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the OpenXR loader, which is used by OpenXR-based software to access the active runtime and handle API layers. . To run OpenXR-based software, an OpenXR runtime is needed in addition to this package. Package: libopenxr-loader1-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2020 Depends: libopenxr-loader1 (= 1.0.20~dfsg1-1~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-loader1-dbgsym_1.0.20~dfsg1-1~nd+1_i386.deb Size: 2002156 SHA256: bf7523ffb27bc4605709b2956d265b016759ae9cb42b5f30589dac0527531179 SHA1: ec0051553133cf1994ef7281dc2bb64ebdf33dfe MD5sum: e05e90d49879791b232a19a41c4c0089 Description: debug symbols for libopenxr-loader1 Build-Ids: a7c541dbb5de155a7ab1be799efca23b7686e5a9 Package: libopenxr-utils Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 330 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libgcc-s1 (>= 4.2), libglx0, libopengl0, libopenxr-loader1 (>= 1.0.3), libstdc++6 (>= 6), libvulkan1 (>= 1.2.131.2), libx11-6, libxxf86vm1 Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/libopenxr-utils_1.0.20~dfsg1-1~nd+1_i386.deb Size: 131952 SHA256: ca069c6b3d8b5707cf2717d589de1c06a188d8edd14afdf1d84902985de494bb SHA1: c4455c4ee4eaad7f9aaf782e4fa859d762631217 MD5sum: 0d717145bb2f0f3ee5de9d45c568df8b Description: OpenXR software development kit -- utilities OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package includes two utility binaries from the OpenXR-SDK-Source repository: . - openxr_runtime_list - Provides information on the active OpenXR runtime. - hello_xr - A sample OpenXR application that works with multiple graphics APIs. Package: libopenxr-utils-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1085 Depends: libopenxr-utils (= 1.0.20~dfsg1-1~nd+1) Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-utils-dbgsym_1.0.20~dfsg1-1~nd+1_i386.deb Size: 1049632 SHA256: f6f50e242601224632cda3c7bee4da85408436ce0edb3585d6c29a4c80da7f71 SHA1: 2dd3d93173c207b263d4ec436e34758b7f2aabad MD5sum: a9e42ece0765fd63125526c2a0aa6337 Description: debug symbols for libopenxr-utils Build-Ids: 4b9643db7087057ff6a3d07f34f06fadfbd26442 f3cf3f271e45141eb104d625b9013f3daebbf8f9 Package: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd+1_i386.deb Size: 7764 SHA256: aa3e470d40896dc4f82b1dfbc583fda768a79fc3668ff4fe31256d1170c25e68 SHA1: 38d3117afc9e66e1895aa879bf457e13bb481b64 MD5sum: 87c6e98c0be079dff1d38a60b0f9266a Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd+1) Suggests: fpc Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libdevel Filename: pool/main/libq/libqtpas/libqt5pas-dev_2.6~beta-6~nd+1_i386.deb Size: 142300 SHA256: 3bece7c298ccb3b63dcc7ce69c73203538f2d10d209b3c8d683c661a39eb7795 SHA1: 93de59fb62fcc1f5a351674fcbc38d3e1ed2157d MD5sum: 883cfa2359c8bee9aee1c87ca685451c Description: Development files for Qt5Pas Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. . This package contains files needed to develop Qt5 based applications with Pascal. Package: libqt5pas1 Source: libqtpas Version: 2.6~beta-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3009 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.8.0) | libqt5gui5-gles (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.3.0), libqt5widgets5 (>= 5.12.2), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 5) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libs Filename: pool/main/libq/libqtpas/libqt5pas1_2.6~beta-6~nd+1_i386.deb Size: 538860 SHA256: feddd0163c51e11ed560c51d256c2fb040e6acb7c4f0cbeecf7f1434ce7d0ecb SHA1: 02948234f2a7d50f8eacf3ad5045d0f2dc90a61c MD5sum: d37177e1a82615666984c6253ef86f53 Description: Qt5 interface bindings for Pascal Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. Package: libqt5pas1-dbgsym Source: libqtpas Version: 2.6~beta-6~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 42871 Depends: libqt5pas1 (= 2.6~beta-6~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libq/libqtpas/libqt5pas1-dbgsym_2.6~beta-6~nd+1_i386.deb Size: 41852448 SHA256: 5d72ac7b085acf884be4d326efedd77ef7cd1411fa08a6c6b18ec55f4db944ea SHA1: 52d373d26825c2f596c4c895309427f212deb487 MD5sum: 2472bc85fb2b104044557de626264004 Description: debug symbols for libqt5pas1 Build-Ids: 15cb0bef7e42a746982b3f87207db492cdd5ab21 Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd+1_i386.deb Size: 12592 SHA256: e2103972b87bfe86303bc55744c9715b83bae571c93f8642a705a241940c9a7c SHA1: ec08d75ebc73c97b08c2dab2a61d783d4a971a01 MD5sum: 8a0ac31824ca54d62baca61a42d534ee Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.2) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd+1_i386.deb Size: 28756 SHA256: 88b083c13fd3894ee9c4d6cf3eaab5ba75a119d8666ebd34a91de567a72557ec SHA1: 79f6c81493ecd51453aebae2e303e4fd151e5bbe MD5sum: 20e3a74a58d439944316fbd64aee26df Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd+1_i386.deb Size: 37934 SHA256: b27d10a343f4e1558574d644ed5dad5be2a79a963ffb17024455140002a303c8 SHA1: 87e756352963311132754f57947771c67b4b08f5 MD5sum: 9314b3abf11728fe5fdc81314beee3fd Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libsvm-dev Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd+1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libdevel Filename: pool/main/libs/libsvm/libsvm-dev_3.0-1~nd+1_i386.deb Size: 39860 SHA256: 3555022a1cac2b2922c85aafefe8bf6c0c1eb084bbf06ab954c997266b1c96ce SHA1: fe4c636fc25bb3b2e61ad73a5dcc4ac57924bb22 MD5sum: 768a805bea03722476e0550ce9c52692 Description: The LIBSVM header files These are the header files for LIBSVM, a machine-learning library. Package: libsvm-java Source: libsvm Version: 3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libsvm3-java Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm-java_3.0-1~nd+1_all.deb Size: 13482 SHA256: 1492b2687984b9a78136924b2b39e6e61aa7cce3db838336fee65922035b3ee0 SHA1: 13a26757ee98ac492d11734e3a474b294266c9f2 MD5sum: 98d98d2c95a2b57a1d0f0fd2ccbf5e27 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. . This package solely provides a symbolic link from svm.jar svm3.jar. Package: libsvm-tools Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python, gnuplot Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: devel Filename: pool/main/libs/libsvm/libsvm-tools_3.0-1~nd+1_i386.deb Size: 112556 SHA256: 84747ab920dc8d4588e2ef2fd65879ddd0a82cc401405ac7d5e4bdaf2ebd2a11 SHA1: 0c68a8680d5e5d790b67eb774781952c9b8918c4 MD5sum: 2fdb84b3e8fb4244ff7feb655508af27 Description: The LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm Package: libsvm3 Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libs Filename: pool/main/libs/libsvm/libsvm3_3.0-1~nd+1_i386.deb Size: 42908 SHA256: 37acb94c6d0ebd4a7a89b8aab38ea9199030b9340e1feba2351b36c512222d3a SHA1: 0c6693a195f772057e4f645105a2999829f4f507 MD5sum: 5cae72a0496476aabfdae9488d11552c Description: library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. Package: libsvm3-java Source: libsvm Version: 3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, gij | java-gcj-compat | java1-runtime | java2-runtime Suggests: java-virtual-machine Conflicts: libsvm2-java (<= 2.91-2) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm3-java_3.0-1~nd+1_all.deb Size: 60478 SHA256: 801debe37d8eb71cf96cc8acb1f192c1ff8b0a237ff08c17575a3294f5f65b68 SHA1: e237f6806ac39e2fccaca7e875b4a02449cb425a MD5sum: 5f50baac283e77ea67d18c68132f91b8 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. Package: libvia-dev Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 715 Depends: neurodebian-popularity-contest, libvia2 (= 2.0.4-2~nd+1), x11proto-core-dev Conflicts: via-dev Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libdevel Filename: pool/main/v/via/libvia-dev_2.0.4-2~nd+1_i386.deb Size: 189800 SHA256: 9d5596d0b0b17ce6a8fe21d3b25e6cff6707ed5185f89514c18bcb3277b9ac93 SHA1: 54fa8b2e0badb3e6686e1b18b8fcb512f95c36c9 MD5sum: e710af61c7a11e913dfffce346604a19 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the header files and static libraries of vialib, vxlib and viaio. Package: libvia-doc Source: via Version: 2.0.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 903 Depends: neurodebian-popularity-contest Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_2.0.4-2~nd+1_all.deb Size: 118466 SHA256: b016bb696ef74d79bfb463aa989ab3d6b853f6dde7786e5fca7158c2cdc241bc SHA1: a75f6603432044f4e7a27b88453e558b9d97dd8d MD5sum: d816c6e69ff20beb455556cf9a20fcd0 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: libvia2 Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 477 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia2_2.0.4-2~nd+1_i386.deb Size: 155630 SHA256: e952b1efbcee8c1724dd5c13483ac0298b2b4587b95f12dc3e6ac68a6c5ac435 SHA1: b1fb225130e4effab9fdf2a3b5defc771475d714 MD5sum: f3e0448e6b420f671c837f90447616ed Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 173 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd+1_i386.deb Size: 108364 SHA256: 8a3251dd14726d87ebff74c539aa849a02a18942d5d1c88c80e2e349c702b601 SHA1: 1e6a3238d3b4178ea745c6bb1ba6e51b0763c0a1 MD5sum: 6647cab6d5e803fda8abeeccf19f1a8f Description: Development files for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages. Package: libvistaio14 Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 93 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd+1_i386.deb Size: 36076 SHA256: aa5486b33955b8643c87695165efc46e004dad00f4403a507d1e5eee0ae44c92 SHA1: 2285057e2470b2a95f67420171475b512520e134 MD5sum: 55585ff935f6878b33945f78073d1128 Description: Library for loading and storing various types of binary data Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. Package: libvistaio14-dbg Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd+1_i386.deb Size: 71858 SHA256: bb449ce74c5b43bb87f89b1435d1a4c56da3d28f8c7c51a589c6a445d1905886 SHA1: eb01258dbf32cf9f0ce160decaeac097d5dd960a MD5sum: 4b7d69ed55062dfd5c4873b74765c2ec Description: Debug information for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is package containing the debug information. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 702 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd+1_i386.deb Size: 218310 SHA256: 00e087020c8ac2746d6f37b14bec6c5062b5dc0f401540c6db4e91cb886be370 SHA1: 16145c66e585084411449569f720d1480b4ebcee MD5sum: 88cf65d6b8b2b49f93300858630701d6 Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 560 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd+1_i386.deb Size: 234298 SHA256: 801ecb041e8cf6af12427244d9a9272cd31e4304b0436aa5645a12ef107e3d0c SHA1: 8535c3f30d292d7ba5dc9f91002743f3457254f0 MD5sum: 014c3ccd14cf7cd0947ea364aa8af2a7 Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1281 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd+1_i386.deb Size: 479356 SHA256: cf2c3af8edcab1077a8005e3595f6187b5f3410ccf88d4ba6b178b90552896df SHA1: b8e93957f180071185e5fc1926653c395219d644 MD5sum: a395103ca6acb9eb30c717e53ed15a6e Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 275 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd+1_i386.deb Size: 73354 SHA256: aa6c569376bf1337c015abb189b2f48d57bab1dc8c01f3966b70e24386020699 SHA1: d2e9f76b405398f484fd24e29f71565dc85eafa5 MD5sum: 8b2329745a4e6087ec4a43f652b38853 Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1508 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd+1_i386.deb Size: 437086 SHA256: 0d765fca73633b7e690c61ae141871202cc603a433fa9a2f163810dfe0f0bbed SHA1: 02dd71461bc7df9c580971b6c3fdef8e00242c32 MD5sum: 56d73559b697314cc1868e3d23996e10 Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd+1_i386.deb Size: 80818 SHA256: 317bcbc01c67b2b80509d9ae227c095b15a45986bd6546990db324daa589f471 SHA1: 7fe2e7018e4a151812e1e073cfb9d98a9ab7d91a MD5sum: 4613bb193b392773c65d3db680eeda45 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: libvtk-java Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11334 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libpq5, libstdc++6 (>= 4.1.1), libvtk5.8, zlib1g (>= 1:1.1.4) Suggests: libvtk5-dev (= 5.8.0-7+b0~nd+1), vtk-examples, vtk-doc, java-virtual-machine Homepage: http://www.vtk.org/ Priority: optional Section: java Filename: pool/main/v/vtk/libvtk-java_5.8.0-7+b0~nd+1_i386.deb Size: 5114638 SHA256: ceeb7602ffb738b2799053d867d2a06e2c79a10acb9be37a1fd3b5e94bcd1c38 SHA1: 90bf3e0a360647f1589a3443d38eb84e93294dc0 MD5sum: 80fe468555d6810daf118413c0833cbb Description: Visualization Toolkit - A high level 3D visualization library - java The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK Java language support. Package: libvtk5-dev Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12834 Depends: neurodebian-popularity-contest, libvtk5.8 (= 5.8.0-7+b0~nd+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev, libx11-dev, libxt-dev, x11proto-core-dev, libc6-dev, libxss-dev, libxft-dev, libexpat-dev, libjpeg-dev, libpng-dev, libtiff-dev, zlib1g-dev, tcl8.5-dev, tk8.5-dev, libavformat-dev, libavutil-dev, libavcodec-dev, libswscale-dev, libgl2ps-dev, libfreetype6-dev, libxml2-dev, libpq-dev, libnetcdf-dev, libmysqlclient-dev, mpi-default-dev, libqt4-dev Suggests: vtk-examples, vtk-doc Conflicts: libvtk-dev, libvtk32-dev, libvtk4-dev Replaces: libvtk-dev, libvtk32-dev, libvtk4-dev Homepage: http://www.vtk.org/ Priority: optional Section: libdevel Filename: pool/main/v/vtk/libvtk5-dev_5.8.0-7+b0~nd+1_i386.deb Size: 2557304 SHA256: df2023bcf6f653ac3e1397e3b0fde7c899dc9644875c012095741adaec126b24 SHA1: 77d17c40d97483b807c8ad10d398749f9e93fafa MD5sum: b90991b72be40092596768dc8f9632b7 Description: VTK header files for building C++ code The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK header files required to compile C++ programs that use VTK to do 3D visualisation. Package: libvtk5-qt4-dev Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libvtk5.8-qt4 (= 5.8.0-7+b0~nd+1), libvtk5-dev (= 5.8.0-7+b0~nd+1) Conflicts: libvtk5-qt3-dev Breaks: libvtk5-qt4 (<< 5.4.2-8) Replaces: libvtk5-qt4 (<< 5.4.2-8) Homepage: http://www.vtk.org/ Priority: optional Section: libdevel Filename: pool/main/v/vtk/libvtk5-qt4-dev_5.8.0-7+b0~nd+1_i386.deb Size: 108484 SHA256: 6ec82a72ef564015869482af7c8bb9182b9539d6f3089dd75923643459469e37 SHA1: 2b5fe6fb82a11c81881893489b228c29e78beace MD5sum: 33cfa0578db29efb81ae869a39a8afea Description: Visualization Toolkit - A high level 3D visualization library - Qt devel The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK header files required to compile C++ programs that use VTK GUI support for Qt4. Package: libvtk5.8 Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45213 Depends: neurodebian-popularity-contest, libavcodec53 (>= 4:0.8-1~) | libavcodec-extra-53 (>= 4:0.8-1~), libavformat53 (>= 4:0.8-1~) | libavformat-extra-53 (>= 4:0.8-1~), libavutil51 (>= 4:0.8-1~) | libavutil-extra-51 (>= 4:0.8-1~), libc6 (>= 2.7), libexpat1 (>= 1.95.8), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libgl2ps0, libjpeg8 (>= 8c), libmysqlclient16 (>= 5.1.50-1), libnetcdfc++4, libnetcdfc7, libopenmpi1.3, libpng12-0 (>= 1.2.13-4), libpq5, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), libswscale2 (>= 4:0.8-1~) | libswscale-extra-2 (>= 4:0.8-1~), libtiff4 (>= 3.9.5-2), libx11-6, libxml2 (>= 2.7.4), libxt6, zlib1g (>= 1:1.2.3.3) Suggests: openmpi-bin | lam-runtime, libvtk5-dev, vtk-examples, vtk-doc Conflicts: libvtk, libvtk32, libvtk4, libvtk4c2, libvtk4c2a, libvtk5, python-vtk (<< 4.4) Replaces: libvtk, libvtk32, libvtk4, libvtk4c2, libvtk4c2a, libvtk5 Homepage: http://www.vtk.org/ Priority: optional Section: libs Filename: pool/main/v/vtk/libvtk5.8_5.8.0-7+b0~nd+1_i386.deb Size: 15082570 SHA256: e250333072410d1c7bc26d3c9f87cd7ac57bf5172fab6d665a15fd0a3a5ae0a8 SHA1: 723746e758906b5eeacdb7fcaac7fe2d9ce35de2 MD5sum: d74fc2de1e4f789b3aa2861bf5c0eb96 Description: Visualization Toolkit - A high level 3D visualization library - runtime The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . VTK enables users to concentrate on their work by providing a large number of excellent and feature packed high level functions that do visualization. The library needs OpenGL to render the graphics and for Linux machines Mesa is necessary. The terms/copyright can be read in /usr/share/doc/vtk/README and README.html. VTK-Linux-HOWTO has information about using vtk, getting documentataion or help and instructions on building VTK. . This package provides the shared libraries needed to run C++ programs that use VTK. . To compile C++ code that uses VTK you have to install libvtk5-dev. Package: libvtk5.8-qt4 Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1262 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libqt4-network (>= 4:4.5.3), libqt4-sql (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.4.0), libvtk5.8 Homepage: http://www.vtk.org/ Priority: optional Section: libs Filename: pool/main/v/vtk/libvtk5.8-qt4_5.8.0-7+b0~nd+1_i386.deb Size: 500042 SHA256: 33febde6691c8e58ba4d7e07eeaddb69a452aad32484f40323b42fd999245386 SHA1: 7f3f810ee3d0b63d930e4e6092cca7a1399fbba8 MD5sum: b2afb2590738dac95e028e480d64bb54 Description: Visualization Toolkit - A high level 3D visualization library - Qt runtime The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK GUI support for Qt4. Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12939 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd+1_i386.deb Size: 1572300 SHA256: e1bb964f3240760e1e67dd591b2d34c0075b077398cd39a384dd713fbc1b9ae5 SHA1: d3d41dc2180cf4d4c764953e3457e067711856fd MD5sum: e3e79e23752e0bfc2955365461e96767 Description: fast and scalable online machine learning algorithm - development files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3315 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Homepage: http://hunch.net/~vw/ Priority: optional Section: libs Filename: pool/main/v/vowpal-wabbit/libvw0_8.6.1.dfsg1-1~nd+1_i386.deb Size: 922908 SHA256: 86f88e73c180c3417caf4ab5d9754cd26c07a6e5ab810c04635b3eb667cdb3f2 SHA1: f0f7e54052ddfff2da3379d835e69649f94435f7 MD5sum: d15de1250755d872ae4b28c097ecf99d Description: fast and scalable online machine learning algorithm - dynamic library Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains vowpal-wabbit's dynamic libraries. Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd+1_i386.deb Size: 27766 SHA256: 51d16415ebcd5fb4feb8632d57167d28eb5f5846d563b1c2e9cc21d3103a06d1 SHA1: 07e1629eecf68b13822ad4a2ce8a0c02ef631c3b MD5sum: e35cf1846c23d2b4471ae3e67eddb929 Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 86 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd+1_i386.deb Size: 46246 SHA256: c3a9bdd0da57f741100b2b466158a04ce6d789aa08ac743b4ceadc7eed8954e3 SHA1: 9478effc891af9e8247c761ff6afae2f20781473 MD5sum: 9483353c346b003e46c392f30803143e Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd+1_i386.deb Size: 76432 SHA256: 4e4cefc1ff109328824b120b81c5b68f2b6a6fe5d0569c131464ade494142d9d SHA1: 25d32c13bb30fe5e6532087082e7892726544fcd MD5sum: e12bf8305a1d91691655c3c23ca5b279 Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: lua-cnrun Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.1.0-1~nd+1_i386.deb Size: 44140 SHA256: 0d3cddb96a7ff6fa05fc21c6c4c1683b50b661dde9764392eb78ffa8f4f5302e SHA1: 0f5273ef39289ae08f43c0dec0f1b233528f2216 MD5sum: e558f4614cbc5b69842d9ed1b3766e5f Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: lua-cnrun-dbgsym Source: cnrun Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: lua-cnrun (= 2.1.0-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.1.0-1~nd+1_i386.deb Size: 261498 SHA256: 7da50f3e871f4d6b1788f4aa6e2052f09ae0ebbcd101c5ed4813d6002afa05b0 SHA1: cad3f73b52a2bb9da0149df1785a58164e0c358c MD5sum: 9fc4c9be950331c88e58a1b363c93dd6 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 5ce510550a9e48c7892ab5d868ce010eb5e18784 Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd+1_all.deb Size: 7512 SHA256: 42b003748752925c2ffbeacc36fadfbaa2db1073c5e6db92ccbca5f4e359be07 SHA1: 16e884448f647ec24616bfb561e976f3a01830bf MD5sum: eb6d5800a7effbe0135889275e6d7d53 Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mia-tools Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7409 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1), libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-serialization1.54.0, libboost-system1.54.0, libboost-test1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.36.2), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd+1_i386.deb Size: 1371074 SHA256: f6beebcd90fb4ee46e1f967eb9f1a3440eabac5c556bef1cf32d1f3aeeba483d SHA1: f5cfcb9e1d254f697223b4c286e1c87eeda5e08f MD5sum: cccf13018b04092e79e01fc3b48bade1 Description: Command line tools for gray scale image processing Command lines tools to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-dbg Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27943 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd+1_i386.deb Size: 26204282 SHA256: d66cdaa505e50c63d64f34e6d83b072affa507372cb9a15add7d4975409bed9f SHA1: 06ff58733df559e6b94489849581f55049185d71 MD5sum: dcb349328b5c9969e725f6611f23c7f6 Description: Debugging information for the MIA command line tools Debug information for the MIA command lines tools. These tools provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1145 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd+1_all.deb Size: 78990 SHA256: 51558554d8205e9835e53d3e5a38f2f9da5222d20da8798e81788580b9265918 SHA1: 356c818a63c03035944b985e1419040aaa7a2278 MD5sum: c9a4f6051dec225ca8244a32e5feb682 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mialmpick Version: 0.2.10-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.31.18), libglu1-mesa | libglu1, libgnomeui-0 (>= 2.22.0), libgtk2.0-0 (>= 2.20.0), libgtkglext1, libmialm3 (>= 1.0.7), libpng12-0 (>= 1.2.13-4), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6 Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mialmpick/mialmpick_0.2.10-1~nd+1_i386.deb Size: 68312 SHA256: 0570270599723f8a29fcbaf86960d8c331099533b4d3968291ab080dd0d01fca SHA1: 4f1d1ba6efe8e57100fdc4e4c70a4892dcf6d053 MD5sum: 6ec890b648a70779acb5cd1d3eceef7b Description: Tools for landmark picking in 3D volume data sets This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. Package: mialmpick-dbg Source: mialmpick Version: 0.2.10-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd+1_i386.deb Size: 155946 SHA256: 25ddf7dd9dff265b3156c6a9c98bac566fda90ae6e4f73367bfcdc05ae97d2a3 SHA1: 550a52920385ea3ce7f24297073df570da7cb29c MD5sum: 1d792cab3611087806d558ee2b179fd9 Description: Debug information landmark picking tool mialmpick This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. This package provides the debug information. Package: minder Version: 1.14.0+git62-g40ec41e-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3862 Depends: neurodebian-popularity-contest, dconf-gsettings-backend | gsettings-backend, libarchive13 (>= 3.0.4), libc6 (>= 2.34), libcairo2 (>= 1.2.4), libgdk-pixbuf-2.0-0 (>= 2.25.2), libgee-0.8-2 (>= 0.8.3), libglib2.0-0 (>= 2.41.2), libgranite6 (>= 6.0.0), libgtk-3-0 (>= 3.22.6), libgtksourceview-4-0 (>= 2.91.4), libhandy-1-0 (>= 0.82.0), libjson-glib-1.0-0 (>= 1.5.2), libmarkdown2 (>= 2.1.5), libpango-1.0-0 (>= 1.37.5), libpangocairo-1.0-0 (>= 1.14.0), libxml2 (>= 2.7.4) Homepage: https://github.com/phase1geo/Minder Priority: optional Section: x11 Filename: pool/main/m/minder/minder_1.14.0+git62-g40ec41e-1~nd+1_i386.deb Size: 728308 SHA256: 73c56b42e81e2411bd3415881575087cec93439592a20ea7fc7a336177633fc9 SHA1: c07944e1af472d3aef7526bac526a9197a638a2f MD5sum: a3c7e98be7515de7a318831243ad299f Description: Mind-mapping application Minder is a mind-mapping application, featuring . * Quickly create visual mind-maps using the keyboard and automatic layout. * Gorgeous themes. * Export to PDF, PNG, JPEG, BMP, SVG, OPML, CSV, Markdown and PlainText formats. * Printer support. * Add notes, tasks and images to your nodes. * Colorized node branches. Package: minder-dbgsym Source: minder Version: 1.14.0+git62-g40ec41e-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2744 Depends: minder (= 1.14.0+git62-g40ec41e-1~nd+1) Priority: optional Section: debug Filename: pool/main/m/minder/minder-dbgsym_1.14.0+git62-g40ec41e-1~nd+1_i386.deb Size: 2524956 SHA256: 6815a15b532f622d5824fc3c0df7c29bf70b54f04e52e04b953889e63eb8d77e SHA1: 8757f7f0f2aad0712200a13d5f7495376fef946f MD5sum: 13fb4f64b7ef198227926ea18f1706fa Description: debug symbols for minder Build-Ids: 8d8833710c7ba1788064025dc35e289bc50ccc52 Package: mitools Source: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6745 Depends: neurodebian-popularity-contest, libatlas3gf-base, libblitz0ldbl, libc6 (>= 2.3.6-6~), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.5-1~nd+1_i386.deb Size: 2648414 SHA256: bb97136a046724ae57cc80cc8abc9510fc756af7d6eae875a0e6985e6580bf06 SHA1: 59c6d5911318d225bc82ce7bbfb5b0cf3e61110d MD5sum: 697d9dec369c6a032f2d1f6acb2ca62e Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 1:2.0.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5376 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd+1_i386.deb Size: 836944 SHA256: 4fe2eaef7e086530a3547d5177b2187a67dd4a86a649c45b72776c97be2eff7a SHA1: fc9ea8ba230e44d99b6e82561e6fba3b8cc7cba0 MD5sum: 1bccb8b8a9203809a89325caecd3bfc0 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 12557 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd+1_i386.deb Size: 2081990 SHA256: fed596f690301dc48289faf60d4b7ab983433d180953c0e9a488f547010206fa SHA1: 287b420c5ce5270a56326ba14ac29ff569751911 MD5sum: 132b57e155d6831ff8b644b188c43bf5 Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1710 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd+1_all.deb Size: 1661584 SHA256: a8efc9af5e1b70f033b6614058ec4922357638a5a358d3150ef484c10bbf345c SHA1: 647ab896ea9b9c2d8c1a02661725b8aaea9c1390 MD5sum: 73a4aef17ff9025d2365cb04480512ec Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1022 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd+1_all.deb Size: 580068 SHA256: a8ca01a92a6803851700c880726c6e0eeaed4ada4184718c44c07e41c600816e SHA1: 3ca8963aadc1f5609e9c52a9287c012fa659b3e6 MD5sum: 0d1df88b9a4fd32bf31c1c184c0cbc17 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mridefacer Version: 0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd+1_all.deb Size: 637206 SHA256: 30a53d376792e4c3a86b72073f5d992bf7785e4adeac0d734b16a3f3445d571e SHA1: 937cfe6d76f82623163780047690a52977e5b7e2 MD5sum: 24f9bd4c5329daf7c6c167998750a077 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9434 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.27), libcairo2 (>= 1.2.4), libcairomm-1.0-1v5 (>= 1.12.0), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23 (>= 2.5), libgslcblas0 (>= 2.4), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libpangomm-1.4-1v5 (>= 2.40.0), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0v5 (>= 2.2.0), libsm6, libstdc++6 (>= 5.2), libx11-6, libxmu6, libxt6, zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.13-1~nd+1_i386.deb Size: 1512804 SHA256: 4e95d5cd4edb25312f66845660e9b647498ea6ac5f1d48529d3b92de4998c954 SHA1: dc59c34e1549b6ff0c1c97b72cb5de18640ffbf4 MD5sum: ad95a3d02424f7c17f6e2de367cd36f9 Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-dbgsym Source: mrtrix Version: 0.2.13-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16660 Depends: mrtrix (= 0.2.13-1~nd+1) Priority: optional Section: debug Filename: pool/main/m/mrtrix/mrtrix-dbgsym_0.2.13-1~nd+1_i386.deb Size: 13237088 SHA256: 4342c2e17eaf737b1ca50997e37978fe082943cef22321293296fc8f3f016f19 SHA1: a0eb11752f3aea6a69f24e9e9e937967e613a65f MD5sum: d5b965b07b38b6dfb8b1ff3868818802 Description: debug symbols for mrtrix Build-Ids: 021812e7b75b0b3c0d56614e3a4520c6f522b2a0 03ac2fb6f302b75d605a6f8c634f2e2dfab812ad 1a13bac755f50a0f9ed9d971465e2a91e43d5f92 2a2e94c08c93159c8ace17f97cd5ff084a5ff32a 2f8d0ee325de0a355c72b03798bed53d1afcef09 365367409222220eff7358450ed84a4b4a093899 388b873e3b7ac434c441766bf44063a11688fbe0 39e7666b6aeadc21095f45abafac382b52097cc0 3f9e9cc592a2380f04a4804d0b7d019d6d45ff2c 3fe43ce376e72ebd618aad4b7b4ccc60f70ab72b 4114f86a7683a3b322fc3b4e903207a591ccd8fb 4250fda91ae435b6837471030a41be44f40d50e2 47dd01285778dac03e005bac068b9e4cc088f45f 481004631fe5baed61664501a4be7179ecb43198 5119405dc001db591788c2d84160352ccdfe4485 54392931c41d1a464c46094afdd4e5837a965f49 56084a5d3fd7219afce5a6b312246efc84161652 561168051586858926af38ad75ccdf09b5383512 566f15e6c6605025cff7e20f703c3fd533031d52 5c20bf9dd650f63946eeb6cc20ec0dd97831e223 62a1ee579c3abaf11d569ff346e34212c7c040aa 6a996ed02a388d035723d620ff22662924bc675c 6bd54cb6af34821ad77dd1d70982da66b579be85 6d3b30cd77ecf9b38475fa1ad16cd2388fb92fbb 6f87ba7e5086aa59292e660e989fb449e6b9c443 7831e271a30c81e0df2e7dc20854efd9ba31b7ba 7aa4f38bb6c4370b90c5dd59cce797da5a970b37 7e9ad90668615b493481767a7092181a4e2dcb76 81c45fecaa83e5a0adb7eef2b53d68d379659bdf 829326c9808c489305a2ec6b61ce63c6c071e5bc 96c9cd12035a70ace46f883bc53b1bd853b34aee 98232b23afa8cca496991791a3f108bd31fd082a 98bd55c06d22422b3a8cce37f462b84fa742d337 99732ad492fa2d2d4d6bbb8c4f97f3f3bc2d0834 9cefdf610090b0894b255df2d22878c8dd66eb2e b004d07b53831bf6337960200d95687d90132706 b32c9723385b0d05796efc0f22504f2d602cecc2 b58d3c91b59b21ce53a0021f40de2d5454c6ca98 b6daa67a066bf4e49c3f9984858e5d2bcfcd7d16 b79702ecd8492aa9487284369deef6faa1dbdade bce5201ce641e31a986c1a0d467898798f9a36ae d8606dbd574c80d71b4b6c0b4f34cd22c55057d9 dfe0ac21e2b2515651c596bbb2dc4d7054bccde2 ea7934a060519c4f4d74df708a4b6f2bef2eb705 f31d502f7aed80ba7e471c09a156bcd478c161ac f369e7b891c0a9bbfcd1ba2d5ed2419ab6183e6e Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3409 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd+1_all.deb Size: 3187092 SHA256: 84b400955d2f7653f4420b8389fb612ddb25d4aaa10c83d7a161362536c0ecd8 SHA1: 079720e9bca4abc01af9c81e4c4a8a3f33ae27e4 MD5sum: fbc51f0f235707d10a76b4b4ce4392c2 Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50420 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.2), libgl1, libgomp1 (>= 4.9), libqt4-opengl (>= 4:4.7.0~beta1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libstdc++6 (>= 7), zlib1g (>= 1:1.1.4), python Recommends: python-numpy Suggests: mrtrix3-doc, octave, matlab-support Conflicts: mrtrix Homepage: http://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0~rc3+git135-g2b8e7d0c2-3~nd+1_i386.deb Size: 8508032 SHA256: f61225cf3ea93ed98c6dbfa3a6b7b74fe1ab1cba02889eaf7d84d57bfad171d0 SHA1: e5ec91076f89156797ab544a4bdaf2a95710e4f4 MD5sum: 0e9ea06b3d310702c24533169b1069d2 Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix3-dbgsym Source: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 651092 Depends: mrtrix3 (= 3.0~rc3+git135-g2b8e7d0c2-3~nd+1) Priority: optional Section: debug Filename: pool/main/m/mrtrix3/mrtrix3-dbgsym_3.0~rc3+git135-g2b8e7d0c2-3~nd+1_i386.deb Size: 642664236 SHA256: f2867e2f6f6646b3784dedfa1cb7e686076375877738ca08e816f86595a6d718 SHA1: 39073b14c14da8f6734c3aa5e2d6ba7f88e72341 MD5sum: ab43f582a7ad60b5f9b7993e483df59b Description: debug symbols for mrtrix3 Build-Ids: 00a84fe7149ad38c03f70abf4b07f04c14b2098a 046cfc5f755d1221437c6eed6a92bbf7ceabaa0a 0541f4a6ed2d0b469e9a43e1c2fc3d61eac71d8b 054f82654acf8be4454b75f2ca0092bbbe7f2956 099dc460aa10e5d6aae01e5e3d1761e44aabd0dc 0bb12f516dfb3603a08de6d7ba182479cadc7273 0cf9642efea5813e056185d78fd7548be2964302 0dc97708f56d4b055efcfb988e7b5a633896ebed 107b94fd1413b9839738af257e5ce3d20b568ab4 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f9954cd23832157c072cb169c2f691ee9657d961 fa1608d1601f614cd0b4013132573402d133a722 ff497b2815f0630bdd0f9d5afb9ffe5f7341d4a6 Package: mrtrix3-doc Source: mrtrix3 Version: 3.0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: https://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0.3-1~nd+1_all.deb Size: 48704 SHA256: 922067cd43a42876c29f5d258849f29a3eeae31878b0731c21b25904f1cad160 SHA1: 4acf7920e963a432464f5a2b0128c0908fe14da6 MD5sum: 5fb2fdc5c48534ced67193436d7a5caa Description: documentation for mrtrix3 Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd+1_i386.deb Size: 218026 SHA256: c4e15264033b695826244e087a760efcd4b7c4dd41ef0f050185187c8d75ea25 SHA1: 17963dcee1d08ec184f5f052361a8acb4f8ab874 MD5sum: e9568040a8268a10fc5a7d4f27e8ca59 Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: ncdu Version: 1.18-0.2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libncursesw6 (>= 6), libtinfo6 (>= 6) Homepage: https://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.18-0.2~nd+1_i386.deb Size: 54304 SHA256: 57fc02dc20bd8482b3dc6aae8e8d89ccb97269501c0fef7a9329d033b2380ecc SHA1: 55863af8e07d9d6d98fe13bb6d9537ee01668191 MD5sum: 7b0227dd52367dfb6b53adb9883a3d92 Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. Package: ncdu-dbgsym Source: ncdu Version: 1.18-0.2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: ncdu (= 1.18-0.2~nd+1) Priority: optional Section: debug Filename: pool/main/n/ncdu/ncdu-dbgsym_1.18-0.2~nd+1_i386.deb Size: 80980 SHA256: 79915ce05082c9b0388fe8f5de8c76a82353420e750dbf3c70bbc41b7a9a1c4c SHA1: 93f898489ae458d7114ec7768341d4c6eee6069e MD5sum: 3ab46a41ef2f498fd432f6ee2ae4dd77 Description: debug symbols for ncdu Build-Ids: a5acad9d0a7fa022d9c49ce9a0cd29535a55dc80 Package: netselect Version: 0.3.ds1-25~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 46 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), debconf (>= 0.5) | debconf-2.0 Suggests: netselect-apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect_0.3.ds1-25~nd+1_i386.deb Size: 31172 SHA256: ef7fc562979618ac4aad1aa5a95632567b5bd0a82278087f5402a815ed520bb4 SHA1: 5b34f3a09fbd1c32d4c5deb4f888fbfcbaa1dfa9 MD5sum: 73b26583b217f0c28b12b33bfde27677 Description: speed tester for choosing a fast network server This package provides a utility that can perform parallelized tests on distant servers using either UDP traceroutes or ICMP queries. . It can process a (possibly very long) list of servers, and choose the fastest/closest one automatically. Package: netselect-apt Source: netselect Version: 0.3.ds1-25~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd+1_all.deb Size: 16790 SHA256: 97280acc29ad04928a2171d14f076325e227c153af82af6002a68cc2f04cdc97 SHA1: d5262a5b9d1465c562d40e782a920ff0b19c6c0e MD5sum: 22f92cf44ff49488ceeed27c77ee0d4e Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.42.1~nd+1_all.deb Size: 31088 SHA256: eafba4f2eea8c3ae02e56a4a9d3bc2ec7671cdce6224c7910eecc4f058d4e926 SHA1: 12831a28c9ff178407a25a8187ca014b0f036428 MD5sum: 0a153d9b0b272327f295385cd7404b57 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.42.1~nd+1_all.deb Size: 6736 SHA256: 237ec0d568c9251935421dab7c4b8827f67a10bf15a4ce4c6ba7f10045fe698c SHA1: bbb45b1a52996b1b3fe125061c416aec6ead35ff MD5sum: 338f8587799e74213819de59bd57b50f Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 195 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.42.1~nd+1_all.deb Size: 118216 SHA256: d9e4e32d7d9adf8d6cb5019b873e48c6e62c9e163c82af8b9f12fb9191935fae SHA1: 44fc1508521c38781595265b3ce274fbb9aad62f MD5sum: 6d93e07f25fa48220c45e920e944dbd8 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.42.1~nd+1_all.deb Size: 30448 SHA256: e0954cafd808dac728371c8df31651459810052b01a38e20ba2d27ae9cfefb36 SHA1: d3fb3c80105fb53d7108a3538f0bee8637d243f6 MD5sum: e5679562f4de58b09b59143c0a331be5 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.1~nd+1_all.deb Size: 11068 SHA256: d7e7bc3696adf4d22136afe80ff09d30b4822bc2fc3f2bcbb2a40ed5fb399928 SHA1: dbed153c58c0b3d99b26b119f56b8922ea2f25a4 MD5sum: 808fcd4e05359273ac732c0c27444e81 Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-guest-additions Source: neurodebian Version: 0.32~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm | lightdm, zenity Recommends: chromium-browser, update-manager-gnome, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.32~nd+1_all.deb Size: 14030 SHA256: a7b1c22382ef38bcb02197d3f88ef51f8e1f2f5152ad7c18e6d040b6803d3c9f SHA1: 0b8bca805ed756dadec92b4e76d3701ed9b400c6 MD5sum: 6bd47ac8ce904b7e445aca38e8d806a8 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-keyring Source: neurodebian Version: 0.32~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.32~nd+1_all.deb Size: 7418 SHA256: 6a6686a0d7186992aeeb0520359ca34c15210792010af928b382b5f4caa888a7 SHA1: 89cec44d84d971babd0be50534f2560073246957 MD5sum: 778a5b4f7b7cd1933cfb8808beedb823 Description: GnuPG archive keys of the NeuroDebian archive The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.42.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.1~nd+1_all.deb Size: 8920 SHA256: af06e7f671470278590fc0c4679a0858bf771dedcf524e242c3e6e460e2098e9 SHA1: 75d8e22b2ea75d689c85274808baaff817f0da6f MD5sum: d82baee4dbbb5a394257b5040c7c4b44 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nifti-bin Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 178 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-2~nd+1_i386.deb Size: 56080 SHA256: bebb79128dd170df823ed16fc6af1855a4facb661e3b2acca09a6061a1985f0e SHA1: 0e68f782a1baaeaa55bfb7688f321638fe3fbecc MD5sum: a4099b159f4336429d9e4f517b576322 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2270 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdcm2.6, libinsighttoolkit4.9, libstdc++6 (>= 5.2), nifti2dicom-data (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.11-1~nd+1_i386.deb Size: 352530 SHA256: 124c95965e5f7388779fdc7a6f2c236f9d911fa0e78db1ea0a178144698e3aa8 SHA1: 660e6cdf84ed26701e0e35ec7770270d24ea1890 MD5sum: 8d9fbbd4e04d17a91cad08edf3f4d3c8 Description: convert 3D medical images to DICOM 2D series Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package includes the command line tools. Package: nifti2dicom-data Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.11-1~nd+1_all.deb Size: 616676 SHA256: b4e0d532aed4c6f71600c96de5ce5c284f2dcff6142c17c104b285fb5c608ce0 SHA1: 2dd827d7ffea474a3b83920ce6cebe36e28d55c9 MD5sum: 8df5623f6d0fe2926cf1c6c32ebe7a80 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nifti2dicom-dbg Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28145 Depends: neurodebian-popularity-contest, nifti2dicom (= 0.4.11-1~nd+1) | qnifti2dicom (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: extra Section: debug Filename: pool/main/n/nifti2dicom/nifti2dicom-dbg_0.4.11-1~nd+1_i386.deb Size: 5659492 SHA256: 5b8f7bb81d2a5b5a3c58c107bc56b53b6c90b4502491d4d0eae8f1e94c072f7e SHA1: 15528c621ce9bd5b08c59787b5327efcf2c25d9c MD5sum: 3d4b910e427c179af565f30adb87500d Description: convert 3D medical images to DICOM 2D series (debug symbols) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the debugging symbols necessary to debug crashes in nifti2dicom. Package: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 36 Depends: python-nibabel (>= 1.0.0), python-nipy (>= 0.1.2+20110114), python-dipy (>= 0.5.0), python-nipype (>= 0.3.3), python-nitime (>= 0.2) Suggests: python-mvpa, psychopy Homepage: http://www.nipy.org Priority: extra Section: python Filename: pool/main/n/nipy-suite/nipy-suite_0.1.0-2_all.deb Size: 3898 SHA256: 882c8580ebd2d458a92f8d851d1ec9291fecf05f6ed98a8b754eb831c95368c8 SHA1: 6501d1d201160520f5aad29d0f9007c17b7d9778 MD5sum: eb090e568264d2f439892bcb98485b8c Description: Neuroimaging in Python NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. nipy-suite is a metapackage depending on the projects developed under NiPy project umbrella, such as - nibabel: bindings to various neuroimaging data formats - nipy: analysis of structural and functional neuroimaging data - nitime: timeseries analysis - dipy: analysis of MR diffusion imaging data - nipype: pipelines and worfklows Package: nipy-suite-doc Source: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 32 Depends: python-nibabel-doc (>= 1.0.0), python-nipy-doc (>= 0.1.2+20110114), python-dipy-doc (>= 0.5.0), python-nipype-doc (>= 0.3.3), python-nitime-doc (>= 0.2) Suggests: python-mvpa-doc Homepage: http://www.nipy.org Priority: extra Section: doc Filename: pool/main/n/nipy-suite/nipy-suite-doc_0.1.0-2_all.deb Size: 2250 SHA256: 54985bd9d6eaa352608b357f2deeb066bd2ac12d3c2e463082f5d9178701bbad SHA1: 5d2f5e94ff6b7ff737fe966f4a2e5ff67df93cca MD5sum: 37d2f8b6b6d203edf208afb0cdb56fa3 Description: Neuroimaging in Python -- documentation NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. . nipy-suite-doc is a metapackage depending on the documentation packages for NiPy projects. Package: nuitka Version: 1.3.5+ds-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12040 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-glob2 | base-files (<< 9.10), python3-dev, base-files (>= 11) | python-jinja2, base-files (>= 11) | python-yaml, base-files (>= 11) | base-files (<< 9.10) | python-glob2, zlib1g-dev, libzstd-dev | base-files (<= 9), ccache, patchelf, python3:any (>= 3.3~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2, gdb | lldb Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_1.3.5+ds-1~nd+1_all.deb Size: 1404628 SHA256: ae3f7c7221f7675287f03d29a1f312fcb4a8e1f9bdb64c5fe1ba1a48e96e3aff SHA1: 2efe4b23b47b87d42804002fe9433646daf44965 MD5sum: a4bb99349eb00f3abcfb5a8f36b46516 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: numdiff Version: 5.9.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 910 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.9.0-1~nd+1_i386.deb Size: 601016 SHA256: 68bd7d8fd02d4e26e5fce5184612e3e9860825ac684c464786ee5db095895e0a SHA1: 3d10fdea8866a633a2d36566c1115952912910d1 MD5sum: eb1e358d3f03200ca490d50c089f889b Description: Compare similar files with numeric fields Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: numdiff-dbgsym Source: numdiff Version: 5.9.0-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: numdiff (= 5.9.0-1~nd+1) Homepage: http://nongnu.org/numdiff/ Priority: extra Section: debug Filename: pool/main/n/numdiff/numdiff-dbgsym_5.9.0-1~nd+1_i386.deb Size: 62888 SHA256: d9bab795c30535f112c6b63ffbcbccf56663c32dfd6c980d8a557f02bc5a2c80 SHA1: 869d805266c576de391a78a3a261f3ebb971c98b MD5sum: b4691a1a87184b82e70c07c6fa773111 Description: Debug symbols for numdiff Build-Ids: d41b58a8c2db8ef70da24b3eb0f933ecd3a5df77 f70f7a12633b8d7329c4140a3588f9404d6bc0b6 Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd+1_i386.deb Size: 20550 SHA256: 69c6e20d379a89dd1b49c2bb9add6eeaafcfbafef42aa71e2b7d9f15c30f01ea SHA1: c621af2f360a21b3536d8c2fce412351432fce7a MD5sum: 868634dea00e92200be047819140bab6 Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-gdf Source: libgdf Version: 0.1.3-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 363 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libgdf0 (>= 0.1.3), liboctave6, libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.3-3~nd+1_i386.deb Size: 90980 SHA256: 9e7151157f0860065f985e44fff8b2e08e96b82afb4920aa51ab0da80389300e SHA1: 0cc76244b02a2edec1d20b32be3b132d10daa36d MD5sum: 1efff370fa164510ad108e7cfc082b7e Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-gdf-dbgsym Source: libgdf Version: 0.1.3-3~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1344 Depends: octave-gdf (= 0.1.3-3~nd+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/octave-gdf-dbgsym_0.1.3-3~nd+1_i386.deb Size: 1280532 SHA256: 1ceceb05696c8139a9455514d693cc909fc78520fc09b6cf54d45ce794058705 SHA1: 973f812481f843f2f07f8850e8d37e8e11085395 MD5sum: 1ef1a82cca092edc01a76feeda0c88e1 Description: debug symbols for octave-gdf Build-Ids: 3b652a923bee424aff3e0a10fa8380a591434038 899d2bfef3617ff0aceaf33648734540d99c782b Package: octave-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.3.4), libgcc1 (>= 1:4.1.1), liboctave1 (>= 3.6.2), libstdc++6 (>= 4.1.1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: math Filename: pool/main/n/nlopt/octave-nlopt_2.4.1+dfsg-1~nd+1_i386.deb Size: 25260 SHA256: eb6caee37904278782e78e9661d783b19a4a0ca0e78719bd1ad38b2a78301379 SHA1: 33e3ce58cb61b5258fdc9665397c65cab8b01edd MD5sum: c1d6a2b342a8b648d85ce0fa9f340003 Description: nonlinear optimization library -- GNU Octave package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the module for the GNU Octave. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5610 Depends: neurodebian-popularity-contest, octave (>= 9.2.0), libapriltag3t64 (>= 3.1.7), libasound2t64 (>= 1.0.16), libc6 (>= 2.38), libdc1394-25 (>= 2.2.6), libfreenect0.5t64 (>= 1:0.1.1), libgcc-s1 (>= 3.3.1), libgl1, libglib2.0-0t64 (>= 2.12.0), libglu1-mesa | libglu1, libglut3.12 (>= 3.4.0), libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.8~), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libopenhmd0 (>= 0.3.0), libopenxr-loader1 (>= 1.0.3), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 11), libusb-1.0-0 (>= 2:1.0.22), libvulkan1 (>= 1.2.131.2), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.8.7), libxcb-dri3-0, libxcb-present0, libxcb1 (>= 1.9.2), libxcomposite1 (>= 1:0.4.5), libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.19.14.dfsg1-1~nd+1), psychtoolbox-3-lib (= 3.0.19.14.dfsg1-1~nd+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.19.14.dfsg1-1~nd+1_i386.deb Size: 1080340 SHA256: 90da7881fc1c678b482db407bb12346cf7c25a113f19dbdb79816c3330dd73c9 SHA1: 4d77eb27a3264882689e7b79382c1b70718be870 MD5sum: b5f0b6f028e810cf04164ab6ab6934e2 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4061 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.5-1~nd+1), zlib1g (>= 1:1.1.4), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.5-1~nd+1_i386.deb Size: 1649208 SHA256: 2bfe3ac9c6fad3ecc52ccb6ff348a69f8ab972c48686f5b104dae2589028d187 SHA1: 8b430f12e97c30873afcd3954e5f23daf69c5c13 MD5sum: e4c4c0f6d65f2b62882b8ddca17da578 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openelectrophy Version: 0.0.svn143-1~sid.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 92 Depends: python, python-pyssdh (= 0.0.svn143-1~sid.nd1) Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: science Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~sid.nd1_all.deb Size: 34360 SHA256: 15e2e7aefc8b1af85c120f648897950db56fb71fe5999c5a3ca51b1c70bc0fb4 SHA1: 84e8c88b4d56f44c987808ba5c54b1799a0403ee MD5sum: 0eaf72ffeedd568782315315e95b4dfe Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy GUI. Package: openmeeg-tools Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 546 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libstdc++6 (>= 4.1.1) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/openmeeg-tools_2.0.0.dfsg-4~nd+1_i386.deb Size: 185624 SHA256: d475120470910c3b7f99ab5c8bf19125bb325e6ffce3829429599fe32862829b SHA1: 98d26f9fcecc51d7ab1261abe5b2dfba37cab2cb MD5sum: ed58713dfba3f8766d183b39b26b27b4 Description: openmeeg library -- command line tools OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides command line interface to openmeeg functionality. Package: opensesame Version: 0.27.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26639 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-qt4, python-pygame (>= 1.8.1~), python-numpy (>= 1.3.0~), python-qscintilla2, gnome-icon-theme Recommends: python-serial (>= 2.3~), psychopy (>= 1.64.0), python-pyaudio (>= 0.2.4), python-imaging (>= 1.1.7), python-opengl (>= 3.0.1), expyriment (>= 0.5.2), ipython-qtconsole (>= 0.12), python-markdown Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.27.4-2~nd+1_all.deb Size: 24612138 SHA256: b223ca6a17d69da2863cd4ddba9b499d0a3b8b554862fe6623ec17c63eab74a4 SHA1: bf7885235942fade9f1256a1968979918212a7bf MD5sum: daca1a779d091bd428ceb9f90818b04d Description: graphical experiment builder for the social sciences This graphical environment provides an easy to use, point-and-click interface for creating psychological experiments. In addition to a powerful sketchpad for creating visual stimuli, OpenSesame features a sampler and synthesizer for sound playback. For more complex tasks, OpenSesame supports Python scripting using the built-in editor with syntax highlighting. Package: openstack-pkg-tools Version: 112~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, python3-pip, gettext, jq, po-debconf Recommends: autopkgtest, madison-lite, pristine-tar Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_112~nd+1_all.deb Size: 100572 SHA256: d1ff42b70ae350d7352e1327f45e75b99d4b032cfac27f267d6a10a0231f33f6 SHA1: ebf0eecba83a5b3e118cb41b9cf2bdc29df7229c MD5sum: 34ef3bb3070bd33d684405cfe6c2ad8b Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the OpenStack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc and systemd. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openvibe-bin Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1182 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1), openvibe-data (= 0.14.3+dfsg2-1~nd+1), libboost-regex1.49.0 (>= 1.49.0-1), libboost-thread1.49.0 (>= 1.49.0-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libopenal1, libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-bin_0.14.3+dfsg2-1~nd+1_i386.deb Size: 451534 SHA256: 984943efc024ddb069a2b1caddbfbebec5aacd44403f5cdd7f8869867b0968bc SHA1: d24659ca662c2905d27d4a9283bb6f418219d270 MD5sum: f4d4ad70e92421b010b85b65ae3d3804 Description: Software platform for BCI (tools and demos) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains differents executable including acquisition server, tools and demos. Package: openvibe-data Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9328 Depends: neurodebian-popularity-contest Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-data_0.14.3+dfsg2-1~nd+1_all.deb Size: 2024448 SHA256: 577686111aba7c2eafbe4c25ab1052d26958bd64471319884a324b9825c07d16 SHA1: 2ab042fb217b2ffec6f55b478cf1e8405786832a MD5sum: 8d7802d259052ef28a0dd2febd7fa4e9 Description: Software platform for BCI (Data files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the data files. Package: openvibe-dev Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 715 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1) Homepage: http://openvibe.inria.fr Priority: extra Section: libdevel Filename: pool/main/o/openvibe/openvibe-dev_0.14.3+dfsg2-1~nd+1_i386.deb Size: 100674 SHA256: ff9f381121db6f2e6ec67bff0afb474d69ee609d903279a7c3ed7a9ca0679ac8 SHA1: 758ac36f106dde3de1f4d2927559239bf256a275 MD5sum: 2d00a8e7fdac02dfbb62e56966596990 Description: Software platform for BCI (development files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the development files. Package: openvibe-libs Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2084 Depends: neurodebian-popularity-contest, openvibe-data (= 0.14.3+dfsg2-1~nd+1), libc6 (>= 2.4), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libogre-1.7.4, libstdc++6 (>= 4.6), libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-libs_0.14.3+dfsg2-1~nd+1_i386.deb Size: 642166 SHA256: 6b4db4e7acf281790138138304feab4db8a073808f0c86c122e8c335ddd92d86 SHA1: e142dac044a7c70900d47eff950cdb242d83aa8a MD5sum: 0be713922e072ab2af1e0afcd923633d Description: Software platform for BCI (shared libraries) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the shared libraries. Package: openvibe-plugins Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5367 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1), openvibe-data (= 0.14.3+dfsg2-1~nd+1), libalut0 (>= 1.0.1), libboost-regex1.49.0 (>= 1.49.0-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libitpp7, liblapack3 | liblapack.so.3 | libatlas3-base, libopenal1, libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), libvorbisfile3 (>= 1.1.2), libvrpnserver0, libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-plugins_0.14.3+dfsg2-1~nd+1_i386.deb Size: 1664630 SHA256: e3bc01cb21e9b917cfccb1cd7d0f42eaed75f3616547b36f66559d96d820e678 SHA1: bde6c9449832b2b02362c0a6d161fde27e4d8c98 MD5sum: e95a11a64c4e35fa3615b1c2521b2d9b Description: Software platform for BCI (plugins) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the plugins. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17721 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph99, libopenthreads14, libopenwalnut1, libstdc++6 (>= 4.6) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 3280664 SHA256: 7898aca9e0557d86d1e3a1f06117423b39057fa572593aaf3c0f5c4781a4dc14 SHA1: f05874408d181b83478d433f85f089a275e1c431 MD5sum: d4b6f26ee8f7fc10e17d3e1be9296f2f Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1924 Depends: neurodebian-popularity-contest, libboost-filesystem1.54.0, libboost-program-options1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph99, libopenthreads14, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 4.6), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 739146 SHA256: 5e9beef82d5f01d69ce4999c9c133132f948bf63d8491364fc844092c9770a72 SHA1: c145290270dda7fad25dc0fcea8543b0d1984e3a MD5sum: 7df714ef3d89e082ef3dd9256255cb13 Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: openxr-layer-apidump Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1350 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc-s1 (>= 4.2), libstdc++6 (>= 11) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/openxr-layer-apidump_1.0.20~dfsg1-1~nd+1_i386.deb Size: 300960 SHA256: bcde610d806412a2f60aee53394b0d7e3972e99a3fdaa15100c5e8c1eb235a02 SHA1: 74532fbc56054bdf5336a0d0d98d469d4f4c96e0 MD5sum: 751c67e8ed0d3e487570fa2facea097a Description: OpenXR software development kit -- API dump layer OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the XR_APILAYER_LUNARG_api_dump OpenXR API layer from the OpenXR-SDK-Source repository. It may be explicitly enabled by an environment variable or an application. . The XR_APILAYER_LUNARG_api_dump layer outputs or saves a dump of all OpenXR calls made. Package: openxr-layer-apidump-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3888 Depends: openxr-layer-apidump (= 1.0.20~dfsg1-1~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-apidump-dbgsym_1.0.20~dfsg1-1~nd+1_i386.deb Size: 3664628 SHA256: a795de699d27d787a311460f286ed2c5b9eed8f3fb6c083a65d1699f8318f739 SHA1: 24850aa8c498e99f9fc78eb9344aa7c030c1541c MD5sum: 3858216fd8dc7a26be7090574f0145b6 Description: debug symbols for openxr-layer-apidump Build-Ids: ec96e7a398f98cf348da7c8df6965b90b85d9d6b Package: openxr-layer-corevalidation Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1530 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 11) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/openxr-layer-corevalidation_1.0.20~dfsg1-1~nd+1_i386.deb Size: 312820 SHA256: e0eb4acd6b968d51def2f30bbbafadb7120cba06c56b665b04199142cc4c8225 SHA1: 1c59bef5afa8ba768a4aa15f6c456919886b2824 MD5sum: 3edaa81f391ec83229fceb8c8058e219 Description: OpenXR software development kit -- validation layer OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the XR_APILAYER_LUNARG_core_validation OpenXR API layer from the OpenXR-SDK-Source repository. It may be explicitly enabled by an environment variable or an application. . The XR_APILAYER_LUNARG_core_validation layer validates API call input and can provide a summary of usage errors. Package: openxr-layer-corevalidation-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3742 Depends: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-corevalidation-dbgsym_1.0.20~dfsg1-1~nd+1_i386.deb Size: 3549036 SHA256: b584ad9d1a472b07eaa1ee0ca1e600480cff550293dc9e89d748c24ae13a0b2f SHA1: b991fafd7b8b425675c69cf187da2ab05d60fda1 MD5sum: 321fc85f95b0842893f8531dce4006b5 Description: debug symbols for openxr-layer-corevalidation Build-Ids: 7b32f711bc380a63e430bd466e8a050fcb309ccb Package: p7zip Version: 16.02+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 941 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-full Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip_16.02+dfsg-1~nd+1_i386.deb Size: 384510 SHA256: 03ebf2d5af2d9a9820ac16f84fd2b52fbfadb30b09c825c099fe1e60fc01438b SHA1: 9ef3da2dbecd0f2f93e641e0e98f5efb35f57861 MD5sum: b8adf863ad54d6df9e4719626e9c2d75 Description: 7zr file archiver with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip provides: - /usr/bin/7zr a standalone minimal version of the 7-zip tool that only handles 7z, LZMA and XZ archives. 7z compression is 30-50% better than ZIP compression. - /usr/bin/p7zip a gzip-like wrapper around 7zr. . p7zip can be used with popular compression interfaces (such as File Roller or Nautilus). . Another package, p7zip-full, provides 7z and 7za which support more compression formats. Package: p7zip-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2336 Depends: p7zip (= 16.02+dfsg-1~nd+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-dbgsym_16.02+dfsg-1~nd+1_i386.deb Size: 2219090 SHA256: bda41c89d79cce0b6c5e4e352903429db5616856346b40932d81498773b6ac4a SHA1: 87143d8caa64bffd1fd1596fe6bc6c057a5c8958 MD5sum: 4d6f0c90d37f400f691d83f5f8db0bc5 Description: Debug symbols for p7zip Auto-Built-Package: debug-symbols Build-Ids: 72e0619da97b7a0ee16609fba31e79e49df976e7 Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4535 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd+1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-rar Breaks: p7zip (<< 15.09+dfsg-3~) Replaces: p7zip (<< 15.09+dfsg-3~) Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip-full_16.02+dfsg-1~nd+1_i386.deb Size: 1366844 SHA256: e3237951215a9649adee4a06e6672121fff61e8906b7f7249d22002aeee19dcf SHA1: 6b75d2fc05ffffa56ef19ebc0da8dc5d551fac70 MD5sum: 7d859256109710705d3628021c2d30d9 Description: 7z and 7za file archivers with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip-full provides utilities to pack and unpack 7z archives within a shell or using a GUI (such as Ark, File Roller or Nautilus). . Installing p7zip-full allows File Roller to use the very efficient 7z compression format for packing and unpacking files and directories. Additionally, it provides the 7z and 7za commands. . List of supported formats: - Packing / unpacking: 7z, ZIP, GZIP, BZIP2, XZ and TAR - Unpacking only: APM, ARJ, CAB, CHM, CPIO, CramFS, DEB, DMG, FAT, HFS, ISO, LZH, LZMA, LZMA2, MBR, MSI, MSLZ, NSIS, NTFS, RAR (only if non-free p7zip-rar package is installed), RPM, SquashFS, UDF, VHD, WIM, XAR and Z. . The dependent package, p7zip, provides 7zr, a light version of 7za, and p7zip, a gzip-like wrapper around 7zr. Package: p7zip-full-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10722 Depends: p7zip-full (= 16.02+dfsg-1~nd+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-full-dbgsym_16.02+dfsg-1~nd+1_i386.deb Size: 10187904 SHA256: 49c97c98d9775fef8a3d05368bbbd6bc3624542db1b7075ee5fd2473c7cccc7a SHA1: 777f039a30d83d347f58f3830f014cbc3414adab MD5sum: 276eee5f7be3f5cb47d99d4a3135866d Description: Debug symbols for p7zip-full Auto-Built-Package: debug-symbols Build-Ids: 6a7584bb48c6b1ec290c9c0cbeb7406f68080273 78fa1d368bff93c01565a9ea77949999a7ca2d4a de52b716bb23896dac64b1d377a74c7d3be50bc2 f680e2e5c87a20a82c591616a0b7d03da55e1945 Package: packaging-tutorial Version: 0.8~nd0 Architecture: all Maintainer: Lucas Nussbaum Installed-Size: 1550 Priority: extra Section: doc Filename: pool/main/p/packaging-tutorial/packaging-tutorial_0.8~nd0_all.deb Size: 1488332 SHA256: 491bc5917f698fee06888998e8a295a6caac2950148bb160b457aff72437eadb SHA1: c5d75d04b01f681ead660ce8d8fe068ab887fba0 MD5sum: 8fbf7c362fd4091a78c50404eb694402 Description: introduction to Debian packaging This tutorial is an introduction to Debian packaging. It teaches prospective developers how to modify existing packages, how to create their own packages, and how to interact with the Debian community. In addition to the main tutorial, it includes three practical sessions on modifying the 'grep' package, and packaging the 'gnujump' game and a Java library. Package: patool Version: 1.12-3+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd+1_all.deb Size: 37352 SHA256: b859838fac9fc45857b76272fbae19bbca37dbb946e2b8612a923ba995075d0d SHA1: 7e7ca1ea12e41f99dc93bfb26f8fbbae2aa43ec9 MD5sum: aa04bee6063efa105ebff92772bdefde Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd+1_all.deb Size: 6936 SHA256: 15b290b9e50e364af797c2266419cd0f27b93141eafcc99e12c29b20f6d178e6 SHA1: 4015e3ab9ec8ddc0e81eee2040ef583b0e23f4f1 MD5sum: 38c3efb25d05addfb38931cb2fa5214f Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 2020.2.1+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18848 Depends: neurodebian-popularity-contest, python3-freetype, python3-future, python3-gevent, python3-git, python3-gitlab, python3-jedi, python3-json-tricks, python3-matplotlib, python3-msgpack, python3-msgpack-numpy, python3-numpy, python3-opengl, python3-openpyxl, python3-pandas, python3-pil, python3-psutil, python3-requests, python3-scipy, python3-serial, python3-soundfile, python3-tables, python3-websocket, python3-xlrd, python3-yaml, python3-zmq, python3:any, python3-pyglet | python3-pygame, python3-lxml, python3-configobj Recommends: python3-wxgtk4.0, python3-pyglet, python3-pygame, python3-opencv, python3-pyo, python3-xlib, python3-questplus, python3-distro, libxxf86vm1, ipython3, python3-pyxid, python3-cryptography Suggests: python3-iolabs, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: https://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_2020.2.1+dfsg-1~nd+1_all.deb Size: 7066184 SHA256: a2cf33387cf378d0883622f8c11450fa9716fb25de8bf70f0b0c96e37c62387c SHA1: 3bb42f10687bf0bada1e0bcab973a209fba27728 MD5sum: d0d87e6e54cc967bf451e80b20734f93 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 57985 Depends: neurodebian-popularity-contest Recommends: alsa-utils, apriltag, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.19.14.dfsg1-1~nd+1_all.deb Size: 26268880 SHA256: 5e94263a00e961087a5927844f0fb4b54b4b424f15335cd65ad102e74f91733d SHA1: 40aa804e850943d50e7a5942d7dde60cd5234101 MD5sum: bc55573bbfbafb0ad578c23c2126c222 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.19.14.dfsg1-1~nd+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.19.14.dfsg1-1~nd+1_i386.deb Size: 180924 SHA256: 97bb202b146869364dc79e8ac933c257100544a654abc80e24e2c8d76f77ea73 SHA1: 4b68ab1ce5e2f0875afe95d6abcb67e59e5581fe MD5sum: e3ecb0a1ce4d3361908f34d0a0b53672 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: 922ed3f3a0fd12a9925eadfa20486d2b3e07d99c 939f082411b5c56343f10559dd74d1d5bd89aa6b Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 178 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 13.1) Recommends: gstreamer1.0-plugins-base (>= 1.8~), gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav, libopenxr-loader1, libvulkan1 Suggests: libopenxr1-monado Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.19.14.dfsg1-1~nd+1_i386.deb Size: 71948 SHA256: 9e4bda729139cfc8b3437d3350df42b56af6e1a24c8427ac02c34021c370a1c4 SHA1: 0421f2b347ff232dbab6c7935b64ada6a7ce8149 MD5sum: bb35b8d9a8936221f5d570e2249a68e9 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pybuild-plugin-autopkgtest Source: dh-python Version: 5.20230130+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, dh-python (= 5.20230130+nd1~nd+1), debhelper, make Multi-Arch: foreign Priority: optional Section: python Filename: pool/main/d/dh-python/pybuild-plugin-autopkgtest_5.20230130+nd1~nd+1_all.deb Size: 9396 SHA256: 62a9789c464c6835f97231331fff9d4d688bdc22d04e59d11c68fd934d8a23c6 SHA1: 8eecc21b59851b5341222bb40e803493cf521ddd MD5sum: c49196dee2008dcb126e055ea90ab1fd Description: pybuild autopkgtest test runner (metapackage) This package depends on the packages required to run pybuild-autopkgtest, a pybuild-based autopkgtest test runner. pybuild-autopkgtest will run the same test suite that regular pybuild runs during build time, but against the installed packages and without doing a build first. Package: pybuild-plugin-pyproject Source: dh-python Version: 5.20230130+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, dh-python (= 5.20230130+nd1~nd+1), python3-build (>> 0.7~), python3-installer, python3-tomli Multi-Arch: foreign Priority: optional Section: python Filename: pool/main/d/dh-python/pybuild-plugin-pyproject_5.20230130+nd1~nd+1_all.deb Size: 9352 SHA256: 7c72b804e57fd026f7aea78646b8906876776133636d85f79b8b65fb54eab49b SHA1: ac7f43f412bbc2edd7170dd80c8a39a4aa38bfa9 MD5sum: 22d9a088b2b2d617388018e9c9e6c1dc Description: Debian helper tools for packaging Python libraries using PEP517 This metapackage depends on the components necessary for building packages with the generic PEP517 build plugin. Package: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr, pypy-coverage Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd+1_all.deb Size: 161756 SHA256: 45d1f9bbb4486f75bdb62e834e3d755cb3f580228cb39fc3415fbab566497d8a SHA1: dd7bc1cd497540f545e50fe1ff9348a7fc3641e1 MD5sum: 135d9fecc07f29328940e2b3a17e67b4 Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd+1_all.deb Size: 19024 SHA256: 21f7c5c81908aa6b634d83f3ce75dbb144efb64cff208884337730f1286e595c SHA1: 986cf709a022a8fa107ea354b4a4fe6c38f824d3 MD5sum: 01ffa67e5c6bbefc9729ddf16dee102b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 111974 SHA256: b78188cea2681341ce323fbd36e9d12817a54e509566b931106d6954205b46ff SHA1: af3ee3c64c7baef47af10db015369be678bbd30d MD5sum: 8e3e882391ac969e4cc4e2fe5f3afd08 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd+1_all.deb Size: 82242 SHA256: fb104d8144ba49ce0749d43b82315c43a3ba8d91cc40f7cd2b3f6390ab87abfb SHA1: 83c9a768d5b8e4c60277d3613096311974a8bb88 MD5sum: a94959cf70b61f84d403ce89e57057c3 Description: Advanced Python development support library (PyPy) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the PyPy 2 modules. Package: pypy-pytest Source: pytest Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, pypy-pkg-resources, pypy-py (>= 1.4.29), pypy Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/pypy-pytest_3.0.4-1~nd+1_all.deb Size: 180974 SHA256: ffa719a5cfa6c4a0dc367f85adc059771ac0594dc9107b6767d7a91915480578 SHA1: 371068c9e2a074171a040842ba6c39e00b3f8deb MD5sum: eba9e00726fb95fbbbe9f769155368e9 Description: Simple, powerful testing in PyPy This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the PyPy module and the py.test-pypy script. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 121856 SHA256: 35889dc13125b06712f81173a5ac6d0fa62544a0d9ad787c35746c3808762ab6 SHA1: 73a775f25eae45257fcefffed988ef04fecf07db MD5sum: 0efb61e2b9546a7383e2bf03545af2dc Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd+1_all.deb Size: 14650 SHA256: 0be824abf6c6c6e52a42385e4beda469bad746053e054fcb439fe7abccb66700 SHA1: a6fed38bec2e0a625baa5fda0d5a75b7ed083ce9 MD5sum: 5dfac980fbd53e135341066a615de496 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-argcomplete Version: 1.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd+1_all.deb Size: 25852 SHA256: e961c7c94be985b71d0b9c6496f2342ca95aed4bec75d0a92d8c28837deb3390 SHA1: f14e66ab17ffd8ee30482d8a7d43d51871e8845c MD5sum: ac0f6a6a42aabd4109473218a09e9e21 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 201 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.3.6-6~), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd+1_i386.deb Size: 43362 SHA256: 9ac4ac31a1d3a3bdf7c0c125b1c575d14df1bf060e6a1f6468e779f32a6b97ea SHA1: 991866c559aa9db267d4ea63bed05c1a8fd7b679 MD5sum: db31ebaf77ebd3229896fd78cc4120f6 Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-boto Version: 2.44.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd+1_all.deb Size: 739792 SHA256: be2783f08ddfb93aace3697e6f2f1d036d7188313040410b69f3662ae2d8218b SHA1: 01d8b965d257c19a841b04d3ac0449144aec6a2e MD5sum: f9bd609ce00f7884a15292244e1f2ea6 Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-boto3 Version: 1.2.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd+1_all.deb Size: 63240 SHA256: 09591687fa5a2f6e26bd6c1c8d469e4fb159d63b28f1fc9e75d30af54183f6b7 SHA1: 373f10155429cfc95b9b13a555642e1a4d7fa274 MD5sum: 8c4def388d440191cc6a54f5203c2609 Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd+1_all.deb Size: 402054 SHA256: 4d8b568ca6ce53db9403438830dc7a17577f3e0ad5c79979ec2a2366959f0c4f SHA1: 5109b5627ea5c22fbed8c9259ede95dc14b63a97 MD5sum: f8ddc31d598c27195a3055a212932cad Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7316 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd+1_all.deb Size: 1976078 SHA256: 9d045a63f64430c967de2d6d0f706773a1bd2d110136445345305435f9cc4cf2 SHA1: fdb9dcc1f2bdcd0ba7fee379170094eeaeb1d237 MD5sum: 75abb4ae9227a4a793743e2b5e09da95 Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.3-1~nd+1_i386.deb Size: 41674 SHA256: e0e597e18806bf860e9e74c30a53c742427c7430c3d8c5006ed1e4c7c57b2af5 SHA1: 1ad8109f2a1e0ab0b248bcfc89b8dfc9a47ffee7 MD5sum: bf4143a043e108893a8524dddcdf8a20 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-brian-lib-dbgsym Source: brian Version: 1.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: python-brian-lib (= 1.4.3-1~nd+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd+1_i386.deb Size: 124928 SHA256: 82b740100e8e80da3ab1f5320d0fab859aa8a4bba30e583ffbcae57d45ccc518 SHA1: 92522d29b1e43357056c796e9876ebd4ddf4bc34 MD5sum: 755e2499483403901d6c70f7e8dfeab5 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 0fad056f69501dea429ddeb1fa62cff6973980b7 df6581c3c1487719a9c9bb6ddb3af73924463a2f Package: python-bz2file Version: 0.98-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd+1_all.deb Size: 7900 SHA256: 1b0e93cbb1f2d614ef6e181bdbf1def75c7118a5bdf02b1a9a59f5da249a2361 SHA1: 1b040e5f81de7571cebc0fc1a82a61fd4f92ab63 MD5sum: 69488c61c3a1659555168f71f1c8b54b Description: Python library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python2. Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.6-cfflib, python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd+1_all.deb Size: 217692 SHA256: 4da2bdfd6e65beb307156093efe58c8242305e225741677f043c95133dd02928 SHA1: f5afff0937ac80443da91ebd51b53ce9c454f296 MD5sum: e6da3383a7a7a89da2d0d5b33f4910b5 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-chardet Source: chardet Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd+1_all.deb Size: 80336 SHA256: 8c5b14adecb7eaae0a7d97497f62b817e8dfa30cee30ed189ad71bc6cdfffad7 SHA1: 2a21a4f1930cc4ad6d324f2b23b6f8a1f5d8321d MD5sum: 01cd99197faac51b18850df2d279690e Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 769 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd+1_all.deb Size: 80320 SHA256: 697b8521e8930432817b1503eb837c18fcc58f31d87fc3f958bfb110ca13378a SHA1: d4971cc97575a0c8c08f44c2cfb1de51bb281917 MD5sum: 634926f49184a46c2a5d8b35eec480f4 Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-click Version: 6.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd+1_all.deb Size: 56304 SHA256: 1ce92ab03644722756d200d9d3bfb79c08770b048290c5733b304cd378b5dafe SHA1: fb21ccb3885105cda419e49d6944e4fbc7f02486 MD5sum: 298fb5079c5e7d190712072aa423d576 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd+1_all.deb Size: 8654 SHA256: d3a0ccdd81271c47039bb787b192809749186f00bbadd53643e2299ac3dbf0cb SHA1: 8315929753d4260508bca756c44798061e425b97 MD5sum: 6cbc70f15c714d3bcdc17fbca8d88318 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-datalad Source: datalad Version: 0.11.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4543 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.6-1~nd+1_all.deb Size: 943524 SHA256: 53f59ccc6838bbfb3a2d7cb01533c45fde7c30cce827e2f7c1564e79e4152aae SHA1: c469197e5c8fc3b39d4b163d4a3a94f63b5ed647 MD5sum: c713d9484bf35ffefc0fba1998e7aa1a Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd+1_all.deb Size: 76404 SHA256: 5c3b9933f95751abe5287afca2b10a19765eeda34b04b14213a7895d7d4b2d22 SHA1: 0822523f85db254f37ad7c4ad96943f56327fcd8 MD5sum: 761b9876a9ab4e92ae8d317bbc2bb2a4 Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd+1_all.deb Size: 8588 SHA256: 3e31ec7d8b18b107d5db225eb254749327e6035e02a637b1612a801b0b337ba0 SHA1: c4528a065f7d760036bfd0b39d4cbfa1bfb5f132 MD5sum: 741f68ef860c15a25c3ad34e1feee315 Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd+1_all.deb Size: 4888 SHA256: bc234999780adf28526188cc25290ebd97ca238c6a3d6cd15a6a1c843f5d1268 SHA1: f3e7abab00a8b6869d63c87a80b5dd37e68cb575 MD5sum: dd88af3a4b5c7feec7fff31d4a7980cc Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd+1_all.deb Size: 3052028 SHA256: 18027cddcf73e7c80f8c65e5055449009fc3d7417e006681145994060f3a9bb7 SHA1: 6197efbb01652f0560f747e03a04b29557b4bef8 MD5sum: 0788a62eb59854bf2e2568b4763aa68a Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd+1_all.deb Size: 12643608 SHA256: c0241def74f7817ecce01729a511f3c55d8a13c47f01e10cd2fb846b59c3f14d SHA1: a95088bda70b03a60015f1bc71c9a31a118dd291 MD5sum: 12650d9ade8da71137f989b3b0b94fb5 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11408 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd+1_i386.deb Size: 1715748 SHA256: dc1dd31e2e1286533a56bbf62a03e583908c02a80d875d8891c9abe0796f60b7 SHA1: 1771e29d3148ef25761ce52f1703254d3fe85e66 MD5sum: ac8773cc3f9dbcef16e339b92c2ebd32 Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-dipy-lib-dbgsym Source: dipy Version: 0.14.0-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9706 Depends: python-dipy-lib (= 0.14.0-1~nd+1) Priority: optional Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.14.0-1~nd+1_i386.deb Size: 8527732 SHA256: 0a731284390c2e9779ba4da6684d468333531400d8d58526cf228f9305d846d1 SHA1: 80065987a8902f32f4fec2138ed7415232a69f5d MD5sum: 120f8b91be156e68f99f13d4a85a3907 Description: debug symbols for python-dipy-lib Build-Ids: 014d093e852364e58a7cb74c59d79d959336e4fb 036b07da4cc90b330cf26f1d9c2aec4e8a6240f5 0f1f0c8d8504ef411808cef0cc58924e8a95d240 141611726afd874c54c27355e88783938ba5af6f 216ba061e1ffc41e7b2536347cb62b6e6e61cf5f 22970ed860166b1c560f37efdb129c4a80ae033b 26ffb7469608202ffa3b1b821e1fca2f32ff9257 30acb3cf43253c7a4db43220cd9970fd4f3788b3 326fa42618877c05b69e99b6321c810075e2f8a2 37eb42928dc44900193e4aa780c7279e9f47ca30 3b93ab7360dce4ab5f7dd26149e103e1425b7898 3ee5f27754cab70b8636dedc1017b6de13727b78 4d125601451d7dff0a65da03ff51ff450bf94d38 4e7e8fd848780be0f7121b3a871b6622c261b664 60a0a6eca1f7a070aa0f3cbbb9f0cb5a7904ad3d 649f1a7d43b5ff9a654dd901c4e15e4b967fdb54 69779251c2a92f1065628a9f84863725dc0a074e 78702f18c4182d735c62ba8d35290ed4bbab2150 79169314929a7f6e044b1145d00ccc09d80beb86 7bd8fb32982535c73872fd9a47f439f9804f641c 81764c9e1303086247980bf7a045728d1ba03862 87a668512449286f45ed12ea6746379aed179b50 8854f32007adf722905991f95dc76343f758e53d 9a0ecd3cdf89fc8badbb1a3efc704e77a15b2d99 9a1a6ecddccd8ebcf8111d32f212395783e952e8 a2443e5babb426b59efc989a8ad87221c2b9e29c b209c68d69e958d93015bf92481a819991995a85 b8977628cc68d3440d166aea1fc4ae0d9f1b3ae7 b9579aa697756fe7610610b7c2810db8d86c5bce ba930b0b8fec6142ccf88d1d01c9f0c47009b68f bb99375b42d37a9207c974a5b8299b631042bbbc c7451d8791654cb0970880090424ff59a4ce3697 d39f5850cd3fde9cff69406bd81f88823215fbb1 e435dc62598afdceee44b956a103c8ed71fba8dc eca3175ae2ddf8b2b5abf77de57e114e6e0c2a42 f016d4451e78f59c8b8e1d27f424009b062c8e92 f245ecb4022f7c1dd278b6376c1fd3f1a04085f3 Python-Version: 2.7 Package: python-docker Version: 1.7.2-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd+1_all.deb Size: 27060 SHA256: 5cd7d553edec43fd4ece03e57ba315cd8cd992c035022158aee56ce171f8f03b SHA1: de68d545918b913f6baa5fa7453567314afa226e MD5sum: e770ce1dc614a1606b6ea23b8b88ab30 Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd+1_all.deb Size: 10882 SHA256: b5d6cc788c5184e41a059687050b2d8bf2e898abaff971f0ae22b8f538e652b9 SHA1: 6c3ee553947a51ba3b54fd1e561bc7f9062b202f MD5sum: 25b8f8456e493fef48261ed6b9514060 Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-duecredit Source: duecredit Version: 0.7.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd+1_all.deb Size: 57240 SHA256: df39c7cf873ed240b3065ad63c3e0f589ed72cb5c4eaa892b3a9c5cdf5877cda SHA1: 9f97b96c1500e2bc62deefe70553a9f5a91aca9e MD5sum: cb1b92ac7a18a95ce2a0b101014d7c8b Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd+1_all.deb Size: 30928 SHA256: 5e49a50ed207348d0e26329b8701f22c5958ea9f587dba3718c84d7384681d5e SHA1: dfd1c55881594bfa8f2ead71cb88521dea132936 MD5sum: 7a48074d69a9302da660cf139581dfcb Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2419 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd+1_all.deb Size: 698616 SHA256: 0b51538d13146d68e561a4e41f6434c5d2da0f595efe67c50f01a4e534ef8aaf SHA1: dac42ac93d31516c2d67b397da1446658d3238ab MD5sum: baf8ddfb4a408c0e43865522241da0e7 Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-fasteners Version: 0.12.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd+1_all.deb Size: 14688 SHA256: 41a37682bf6a54e9fe09480a40fc03ed86ca5aab4ef2a7ff3f4c87eee044fa72 SHA1: cb36d0bd9f9759444322027133755b8467daae56 MD5sum: e590062078a15535765f7c7dd9df76be Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-filelock Version: 3.0.12-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python2:any (<< 2.8), python2:any (>= 2.7~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd+1_all.deb Size: 8204 SHA256: f1cfe53481f38cf89896a89126ab89355b8923df5a13a450a8999d61f4376e13 SHA1: d3b9168ea155e119142dc67396c8a955bf9c9c58 MD5sum: 4cd091f9ec6886d2840266d879798c4c Description: platform independent file locking module (Python 2) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 2 version. Package: python-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 147 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libc6 (>= 2.4), libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd+1), libpython2.7 (>= 2.7) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 47028 SHA256: cf10c30f5f7404d84faa251a388d00aa09a2c8a8320d76c8041b49e1ec9e7e8d SHA1: 7af8e127f2ae9be2bfa00e5f241772db81cb2981 MD5sum: 793868f2000fbe88c9fea57fad9ac771 Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd+1_all.deb Size: 84292 SHA256: 1cd0b740f030743e6daf24ea6acc81769cb083c93870f8b0cd1b8ab11e461fb2 SHA1: 61c880fd4c4dda1c089bdb02d7bd66a39486726d MD5sum: caa2a1c8a42d0cbafa490aa792447a7e Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd+1_all.deb Size: 75364 SHA256: 0bce9965ff5755717e0d45aa1a45d6173886b4d92cd38318525841d6548c5266 SHA1: bcbf87df0cb3a35aa8a989dc5c8dac67eecab2f5 MD5sum: 3d0e2af15642da7a1abf669befa6e9e7 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd+1_all.deb Size: 69032 SHA256: 921bfbcb502780a93b4f0fd9eb42897af70f9f9e4bc147cda935996069322507 SHA1: 2e05ea3f44330ddd26affc65933143b3e22833ff MD5sum: cbb434295943cf205e6561410d88412b Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd+1_all.deb Size: 12992 SHA256: ffa5a791589955ce10c1f51009145f0258412f756260a8e041e10c5768a731d5 SHA1: 576edf525d446f2e0b1614396380b718ba1189e4 MD5sum: b37731fa0021f337711055db08ea669d Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd+1_all.deb Size: 23708 SHA256: 4b7ab90b7981cb7d54ec60ce531d3118fc451153e75c7ab913505376437efc9d SHA1: 58ca05578ee852376c61fba2ef8b49e3b87c1551 MD5sum: 29990bf500d495d67ac4a88c369b69e6 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd+1_all.deb Size: 348338 SHA256: cfa260c22586caec87848fde7b08104a1a6d613245185f72d22d5f2c631f45af SHA1: a300c53c8048687b2ca7575f1958869c720209f1 MD5sum: 0f64bb428c1fd4d3066f1969a59fc594 Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1889 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd+1_all.deb Size: 319714 SHA256: 849dbdad405ea50ea53f40b2b3767e4619b518eb5bba2d6d074d9a175e0082b6 SHA1: a7e9e6457db2dd27ea31b0dbb3d4867eb18c2872 MD5sum: 651fc20d4acb400cf43ee6d43c9e41d8 Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.1.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd+1_all.deb Size: 303440 SHA256: 7ff32c2da0453aac02cff2a94b6395e0fcb5c8160d0d58c7b7093fb61ddf3f8c SHA1: da84cff6d5532a1b45d5821b15947fd079a7c672 MD5sum: 73b0a1a500f9000874b2ee9c694f03dc Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 3.0.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1029 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd+1_all.deb Size: 127216 SHA256: fe05f703af901aece7faf0fd9bddac48e9378a6243e6f2a658dbec705c3b4d90 SHA1: 9ff436f06f27e489f15200007da23ab7fd4ecc80 MD5sum: 322e49ab55667572020bf14c895cf251 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.6-1~nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python2:any (<< 2.8), python2:any (>= 2.7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd+1_all.deb Size: 46988 SHA256: 1e57d0a284ffabe9942e27fb5a81fd3a2cdb52e600d810ebdc9c61c19bfdccd5 SHA1: a241d222ceec6f5dc434670013c0241b4de21f74 MD5sum: 75528af0cb22000255964fafa72ec98a Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 2.x module. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: python-gitdb (= 0.6.4-3~nd+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python-gitdb-dbgsym_0.6.4-3~nd+1_i386.deb Size: 22790 SHA256: e44554ece194873a76b4490613bac3c84c9930e6150c9d442be232745d090435 SHA1: 6e09a5bbd654a2588f3cf53837278e3c8fefb47e MD5sum: 8946f543b4cfe6590c3a1d4c40718711 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 17c7ab1273634fab08d5c895b22860e1392cd9be Package: python-github Source: pygithub Version: 1.40-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd+1_all.deb Size: 55576 SHA256: ccbd4ca41bb28d74e2b92ba49a1e30aa82c7243c9e556f074eae1526e7489c7a SHA1: 4f6bb7f9ed95b0f4389ddc852389385a71c4e688 MD5sum: 2c1e8b4f13fa3905e574ddac58059639 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-httpretty Version: 0.8.14-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd+1_all.deb Size: 21016 SHA256: 9296409ecf97929d3827912200eeb70a3df3568853ce422503f3d74100e756f4 SHA1: 8f376c1b560c9e130bbf2c06ece6e247dc0d818b MD5sum: 487fb836d89365487fbd4c0a233b4e84 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-humanize Version: 0.5.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd+1_all.deb Size: 12948 SHA256: 4c4af0de554075bad41bfcb0e3cb8e192e87c5f97642ef0346d1f53df52a3b5f SHA1: f426f555e49355e10cb0cb480840235c56275883 MD5sum: 926ebef411d9a842e0385128133118d7 Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-hypothesis Version: 3.44.1-1~bpo9+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd+1_all.deb Size: 161656 SHA256: 665c68e0e2f4fa932234125b3a411a62920ec8ccec3ba1c3b84c537e14674193 SHA1: da09213ed9a3bec874819746b6e8bef0a1ba25fe MD5sum: 5b51c19bc8a6a81135537ba2d3d19a6d Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1133 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd+1_all.deb Size: 185520 SHA256: 347ec71c017899bfff65c3313f11f15f734e8739cdd2361d62f338e86037cec4 SHA1: cd9e12e1acc0c1afe74512ea83b99ab16b111082 MD5sum: a597bc4484411fea39c8063aa556897b Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1227 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.14.3), libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd+1_i386.deb Size: 298616 SHA256: 300e1b621a534104d7960cccfde6ef326fe024ce0bd0875c2f1854aeb23bc01c SHA1: d2f1cb8ddad6994956ce4f08602a7aa6b7587905 MD5sum: a622ff2b599539ae56e6ceffc1570485 Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: python-indexed-gzip (= 0.8.6-1~nd+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd+1_i386.deb Size: 752460 SHA256: 86c1d62e6ab3764b9748239d2754a4f86f1ab97b82cc53f2db3fd21d45df20c8 SHA1: bb251ab044787e9e14768524a855fc63945b40ae MD5sum: 5a1bee29c1489e91b4daf68f9220d3b8 Description: debug symbols for python-indexed-gzip Build-Ids: 2dd3e40c727217d0919f3b1adaaa864ed51a787f b032da0162dd247dfaa7c2825b6a0470fa705870 d65983219b0da820f40c6ea3e24887440891c5cd Package: python-jdcal Source: jdcal Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd+1_all.deb Size: 7758 SHA256: 94412136ef6ac30b47b2fbde317ab011af097fef09813125147eaab6eefc8478 SHA1: 1e15930886d85192e3364b7efb6450730911da89 MD5sum: 75204676241ba5bb009d2f05a88634b5 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd+1_all.deb Size: 192460 SHA256: 769fabbd7f645c34f197bd568419c682ec27794ce3725611198adf94ff9b9e27 SHA1: b5502df77c1bc0cf87c63f903b3230af47dc4e7e MD5sum: a0978d359c058d2fba85acc71f465d03 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-jsmin Version: 2.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd+1_all.deb Size: 21496 SHA256: ed21143372ccce7789de21af21b3a18fe46c9228a6d256bb5005603d4e7f96ec SHA1: 52e446ef90ca8dfef7d594e004b55c9dee3791ad MD5sum: 93563a3f269126625636d8b03d9cd7e3 Description: JavaScript minifier written in Python - Python 2.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 2.x module. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd+1_all.deb Size: 24616 SHA256: 44ecf8a3a778a85f698f635ab7d4a0122214b7101bc15183da635bb4d8d52b81 SHA1: e8069e31d84bdc25260bc5f0194d4794ffdc45a1 MD5sum: 1b10b828d4e7139039f2e32f9854adc5 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 553 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/Julian/jsonschema Priority: optional Section: doc Filename: pool/main/p/python-jsonschema/python-jsonschema-doc_3.0.2-4~nd1~nd+1_all.deb Size: 70584 SHA256: 37592f4ebfedcdabb24760b717461b148afab35956978c9e368b55fb758b33e7 SHA1: 0911c80099305452380e799fe3c8a9c29aec626b MD5sum: 985baaf520798d1b8751b06c8777345e Description: An(other) implementation of JSON Schema (Draft 3 and 4) - doc JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package provides the documentation. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd+1_all.deb Size: 7328 SHA256: dbb35c5dc374c7bc62e95a56d3a14314105025852a66ba61f2472e4ea5b8be65 SHA1: a7bdc4dd42a3963a810fe0c0e73e4ad7ed6a7995 MD5sum: 1d204a47646dc6ed4152895171c87bc9 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-lda Source: lda Version: 1.0.2-9~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1245 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd+1_i386.deb Size: 236674 SHA256: 96af46f850747314aed1007597e6d0866b4ea17b1579d5401b9c50941f0512e6 SHA1: 14e9bcce6ce36b8e1e1f73d58b3bae2fa7696e48 MD5sum: 0c4b63a466cb8972d3b867c8d902ef6c Description: Topic modeling with latent Dirichlet allocation for Python 3 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 2.7 module. Package: python-libsvm Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd+1), python, python-support (>= 0.90.0) Provides: python2.5-libsvm, python2.6-libsvm Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: python Filename: pool/main/libs/libsvm/python-libsvm_3.0-1~nd+1_i386.deb Size: 14306 SHA256: a3c45755d052a42111514db5b1a96d54719f9faf66e4bbc45b664c70b83f9e2d SHA1: 2b54e855092375e8792d239ca86fc6d018b2f960 MD5sum: b78d53594ff4bd591ac65d28d7316f43 Description: Python interface for support vector machine library Python interface for the LIBSVM library using ctypes. This new python interface is provided since 2.91, and it is incompatible with the old one. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd+1_all.deb Size: 24412 SHA256: 04b2f6faa8df848544d350df0d05042b8e950f941944df6265ffd385f3351b39 SHA1: b6901c62ae8ac951adc99fb2f470c5981668db79 MD5sum: f8d4db027218a9ddd78afc7c0ceab2ca Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd+1_all.deb Size: 38368 SHA256: 407da849e0137ada0688182a26536905c47fc6aa7fd07024683a8245c53d36c3 SHA1: 7d7b701d33f4ee61ad57b768067d36ff4917451d MD5sum: 176ef1c33709d776935069910f7a06c4 Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-mdp Source: mdp Version: 3.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd+1_all.deb Size: 277554 SHA256: f4e162fc6a74c97cafc113d1f6fa3ab2c71c02e13efe9b73316d6570a3ae8905 SHA1: 4f1d93c2e31cc3157fb0716b0d236d214f85f671 MD5sum: 56e7c89d5d1c7b5317f610324edf6425 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.15.2+dfsg-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd+1_all.deb Size: 4958840 SHA256: 3272d843921dcd1297743a12a8f1a1798c16fdb477a5d5a243c1b7db410c20ab SHA1: ec15f4125a9a5dffde1fbbc4fd16ce1c73eb89ed MD5sum: f64e042054fb71460f12830bfa457f12 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-monotonic Version: 1.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd+1_all.deb Size: 5532 SHA256: 47f24d340f05c44224446437ebaa913bdee2039a7d70f6572a109c74ad94c9b1 SHA1: fb27fbca921c798b852b954ba7fec0d655509648 MD5sum: df7a43fb043e57d8f109320f40681fc9 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-mpi4py Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1559 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python (>= 2.7), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_2.0.0-1~nd+1_i386.deb Size: 326794 SHA256: 6cb7d8e598285374ae8047f0e0ea4c8477331a114c78d704c2b11f2cf97a97a0 SHA1: 435ebf3bc5d18ec78a4b3aef009f5393c240eb67 MD5sum: 4210059952d09247973ccc4166f42a8b Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3599 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd+1_i386.deb Size: 933664 SHA256: b12e72803727f4c3ecedcc87a99b9b8d85aa09a5013914b7f81fb7e092fc084e SHA1: 580d1769fe564cf037daaa46c5f0848d22f0e913 MD5sum: 93148ab3c654b6c743ce7f8223bd5a78 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_2.0.0-1~nd+1_all.deb Size: 55418 SHA256: 7b55e630cb0ef72ec388d187b78381f643b9f0542f6f3e50443a79109f9a903b SHA1: 8deea62d2295fd769d5dc228382176f790d8a9af MD5sum: 807a332c99480abebbc8150caab3f00f Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-msgpack Source: msgpack-python Version: 0.4.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Provides: msgpack-python Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.8-1~nd+1_i386.deb Size: 66188 SHA256: f8929ee0e9bbda659f2a9585086206f35d8c9432f1d2987a7ba85d1bd8bffcb3 SHA1: d0090c0db858b554035a4219352bf9f6748f5c67 MD5sum: 0575d4214c8b073087cc1efbf9408b2c Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 247 Depends: python-msgpack (= 0.4.8-1~nd+1) Priority: optional Section: debug Filename: pool/main/m/msgpack-python/python-msgpack-dbgsym_0.4.8-1~nd+1_i386.deb Size: 209400 SHA256: 000e078be1fdc19a3a1e251c4b010c1f73e52a3f873d84296f71d29aa0dc119a SHA1: f0ac99b90a2f5a5b5a1a741de0001c0b7d34acfa MD5sum: 07c8b5fc02b9d089bcf9c41093bd2f4d Description: debug symbols for python-msgpack Build-Ids: 1ada5661a6e148c1dc1ba06bbe4be93ae25913ca 2fd7f7fec7d61bcaf74082fe6685207e85c3497e Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd+1_all.deb Size: 138024 SHA256: fa00b00f089a0fd5c9c3bf4a13f9e07ef7f74d3a3b3562cb62c97563ba686340 SHA1: 1d918cf1b0553ec85bac68d06dcff59159b9d193 MD5sum: eda96feaa02c6d0b4e7441758fcd8de6 Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 985 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd+1_all.deb Size: 123012 SHA256: e98efe70a280c1e687fd3fd34c538e908bb836cc455eb7475fe5e1e2d3fbc30b SHA1: 190a1b4921dd6786d87d2a277ae660c7c0bb4a9c MD5sum: 98a9a5892ad7c83135678877c02ed97c Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy, python-support (>= 0.90.0), python2.7, python-mvpa-lib (>= 0.4.8-1~nd+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.6-mvpa, python2.7-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.8-1~nd+1_all.deb Size: 2205002 SHA256: 41465c88b5c5d855bb5cfb183ef31b621031eb691ba5a8f3ac481bec2fe61bd8 SHA1: 40e31da97e30b6c2af3f28dfcd4b255560f765e2 MD5sum: b36ff1ec87893ae209624c75e8934b87 Description: multivariate pattern analysis with Python PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.6, 2.7 Package: python-mvpa-doc Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37565 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.8-1~nd+1_all.deb Size: 8454400 SHA256: 9f730cbbc6fdcfce45ecca5ef036d74ea074eaedf2b4105fde7baf0028f11350 SHA1: 4510a24072100ffb1d4220f2d66d21abde733b9d MD5sum: 32c7629e7f9e01d9f7ca4d2c621b85be Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-numpy Provides: python2.6-mvpa-lib, python2.7-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd+1_i386.deb Size: 71556 SHA256: c07de5ae92ac8cc8d2cac7759d605c04f79863275e30ee4cfa2142abf12506c8 SHA1: 85a1023c44b5d8d6e7b9e230d7af9dedfdde32a7 MD5sum: 9243a3187d6329a754421be08b16489d Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.6, 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8605 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd+1_all.deb Size: 5109208 SHA256: fbc787f19670b4e6cfb85c17211c958570f6f8afb70aff3f768b346cda0b1f53 SHA1: 6af9f66df7a913395354e2e824f2c37d01a87efc MD5sum: b63d1b71df78d0d8f6a6baf8622e6341 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20439 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd+1_all.deb Size: 4262776 SHA256: 4124226cfd62d739c7b1b03b55a4d6592c10898e9b265b97fa88bbe926741b25 SHA1: ac24d54cae9e504fa739a4b6d05df709b315407b MD5sum: e22a206db39066d574a0a4b00fcb3240 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.6.5-1~nd+1_i386.deb Size: 52168 SHA256: c443011a15948825e321e9f79582168d649341b8406bbea357cf283be58afc0e SHA1: ab9f602bdee6242c9ef4f1d14798f1af143619d4 MD5sum: 3dd2c1a2bc1cbefde2b688d2ce38bd63 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.6.5-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: python-mvpa2-lib (= 2.6.5-1~nd+1) Priority: optional Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd+1_i386.deb Size: 83580 SHA256: 3ecc8542ec1de63b7734558cc1557d4fd90f2415be9f5230a29635032536d8c5 SHA1: cd535c13d76b30eebcee34067c8dbb7bc38fe9a8 MD5sum: 15c718814d1a8643eb7e6bb6319f921c Description: debug symbols for python-mvpa2-lib Build-Ids: 29cf7d8d9fc838a5f41572d423c449667201968f 41b7efc75e86a80d8c9e21d392980008e34d4de4 Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2909 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.3-1~nd+1_all.deb Size: 1378610 SHA256: 268bcbe349cdd59dcd6c81b69f509e39abc526f812bd5f07208932a109266e6b SHA1: be5f458f69e1f2108a65756ef29c1a542be0bbe1 MD5sum: 5da5190a50f6ef3282f67c895329fb02 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-networkx Version: 1.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2672 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-numpy, python-scipy, python-pygraphviz | python-pydot, python-pkg-resources, python-matplotlib, python-yaml Homepage: http://networkx.lanl.gov/ Priority: optional Section: python Filename: pool/main/p/python-networkx/python-networkx_1.4-2~nd+1_all.deb Size: 647276 SHA256: 8686482d59b2830b57bbb4c95a26e38598c5d2b46b8bfc3c41ef5079c7de3f85 SHA1: 8e2dcdffdac74665f7c48190e2594d95466e3c37 MD5sum: e610b0ef6d98a399e29c3b2be7968038 Description: tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. Package: python-networkx-doc Source: python-networkx Version: 1.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15804 Depends: neurodebian-popularity-contest Homepage: http://networkx.lanl.gov/ Priority: optional Section: doc Filename: pool/main/p/python-networkx/python-networkx-doc_1.4-2~nd+1_all.deb Size: 6175086 SHA256: 7576cef9c963357c491c8ed98372493e4567e864c9bf9b30c1da2cbc2dd0cf80 SHA1: 861dba2262ad5310d0b4065953ee4838e7575ad7 MD5sum: ba0a43a93a019711296e4657536ef25b Description: tool to create, manipulate and study complex networks - documentation NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains documentation for NetworkX. Package: python-neuroshare Version: 0.9.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 105 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), python-h5py Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.9.2-1~nd+1_i386.deb Size: 20650 SHA256: 2ce2c050e689a1dfaacb00cb53eb21eaaa6b3fa765eea4555ec75048d65a6a6b SHA1: eae289edf274ddf8af5f006a104b2a4e3948d7e9 MD5sum: 8224859f46ecab1575ae8687c8aa59a8 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Package: python-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 284 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd+1_all.deb Size: 95620 SHA256: 4b008b4e512ecc425d792b05a5f237701cff8f0b10847f9ae4cefbe836b52f12 SHA1: 0c55225790940875eff3b0dc7ac1454c7dea4230 MD5sum: acccb1a0fb534f3233a73ff94d58d8a9 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-neurosynth Source: neurosynth Version: 0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-nibabel, python-ply Recommends: python-nose, fsl-mni152-templates Suggests: python-testkraut Homepage: http://neurosynth.org Priority: extra Section: python Filename: pool/main/n/neurosynth/python-neurosynth_0.3-1~nd+1_all.deb Size: 32506 SHA256: 1b7a6109b4cd73ca4ed17d0f33010df1d73c8bfcdd469311c48d58714fd99755 SHA1: 101a6b891d69881db9e5bd6bfc176aaa2de3ca28 MD5sum: 191a7178983f856cb47820d478a3a791 Description: large-scale synthesis of functional neuroimaging data NeuroSynth is a platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. This Python module at the moment provides functionality for processing the database of collected terms and spatial coordinates to generate associated spatial statistical maps. Package: python-nibabel Source: nibabel Version: 2.5.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65854 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python2:any (<< 2.8), python2:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd+1_all.deb Size: 2666312 SHA256: 0bd40d6ae535e93e0dac8a6302eefa70e69d89ebdee70f9c99946fadf6681a81 SHA1: 2ec527efba167967ec4e01d9e8a13c9700c0130f MD5sum: 0479e8ae48778750646587f5af50aecf Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 3.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10702 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: https://nipy.org/nibabel/ Priority: optional Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_3.2.1-2~nd+1_all.deb Size: 1627740 SHA256: 35a5ab1bb845f8b2aa4686147ec7bc69a84cef2f7a08cca159be48f60f5b803e SHA1: d8929f582697e94140d459100c4d07ffc572c10a MD5sum: 04e34e8591820c7db8c88a00b5fbf557 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nibabel-snapshot Source: nibabel-snapshot Version: 1.0.0.dev+137+gf1c6-1~sid.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 964 Depends: python (>= 2.5), python-support (>= 0.90.0), python-numpy, libjs-jquery, python-scipy Conflicts: python-nibabel Provides: python2.5-nibabel-snapshot, python2.6-nibabel-snapshot Homepage: http://nipy.sourceforge.net/nibabel Priority: optional Section: python Filename: pool/main/n/nibabel-snapshot/python-nibabel-snapshot_1.0.0.dev+137+gf1c6-1~sid.nd1_all.deb Size: 469776 SHA256: 674d6faa8c47cc5d2abded6bf10d56d3c7b2041b70390b254d6bed4fe0b89f92 SHA1: 1e06be036a09d6114c43bcccf080aa256f7c7a69 MD5sum: 26e58a8ca88e85dfba68eae891bdcdeb Description: Python bindings to various neuroimaging data formats Currently supported formats are: . * ANALYZE (including SPM2 and SPM99 variants) * MINC * NIfTI * PAR/REC . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nifti Source: pynifti Version: 0.20100607.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1424 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libnifti2, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python2.7, python-numpy, libjs-jquery Provides: python2.6-nifti, python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd+1_i386.deb Size: 377084 SHA256: 630cec8f4008e6127ee461fd011d0d39ff03accaec835ceb757e4433860209b2 SHA1: f7640ab7f1ba4a37883f11b3455e9d5bc5c7d94d MD5sum: 0e5212d61e909e62d2a52d252a8150e7 Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.6, 2.7 Package: python-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2454 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.2.5~dfsg.1-1~nd+1_all.deb Size: 730826 SHA256: 86ba4f45f523aaddd13c318fcdf9583326386b119f3ee0ec294912f9c1a7c3c7 SHA1: 7ce2818339748b007d6c28c6b5efa1f5a8961603 MD5sum: cc139e26c6e7e3ddc6bff44e47515d36 Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3550 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-2~nd+1_all.deb Size: 785856 SHA256: a7535d2072ebc6e13ec95c7f512933720c462b238460cc29a3364fcdb4d0fde4 SHA1: 311257667f1a2c012e522f52b984cb46906e0b88 MD5sum: 8ec78ff26950bed8128c06cca938c180 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.3~rc1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9625 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~) Recommends: python3-nipy Homepage: https://nipy.org/nipy/ Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.3~rc1-1~nd+1_all.deb Size: 1919600 SHA256: f81f7095e38bc6664f2ce9ac76077b0c4ffd93213cb7c5148876426efbbb2b28 SHA1: a729349c70014b74b6684ddcc426c2e1a473c30d MD5sum: 1e2c65660f3310e7646dedd9f858b713 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.4.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2848 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.4.2-2~nd+1_i386.deb Size: 574252 SHA256: b07c0d6944e70db36860e7addb5f374a3ec588ed1227053d64403c699a414ff3 SHA1: f80a9318c6208fbbd2cb921c2fdf84698f5db5b1 MD5sum: ed1246f600c5c1cf89b4b50627764d59 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.4.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3079 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-2~nd+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.4.2-2~nd+1_i386.deb Size: 638964 SHA256: 9218037834b85fc6aea5008800981209eee4b250249c6f2ac21bd3aa0ebbfdbd SHA1: 244844a4487fc56ea01326ff98b1c288ff5aea3d MD5sum: 69ba49d2e500d9623a3e3246e8c3bb47 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.0+git26-gf8d3149-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1195 Depends: python-nipy-lib-dbg (= 0.4.0+git26-gf8d3149-2~nd+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.0+git26-gf8d3149-2~nd+1_i386.deb Size: 798278 SHA256: bfc26cfba284cb057da660b6cad09a3bcb5dc89abae9ab8c0f89f2052c9bbc3f SHA1: b2205822f4bb13854c1896ecc5a5bda47aaaab82 MD5sum: 141f46422923993428171d458f785cac Description: Debug symbols for python-nipy-lib-dbg Auto-Built-Package: debug-symbols Build-Ids: 0e0b45b67137302dd3e184237d0cff44c672872b 18c8e7034bc1d4a85c01a50e405a161dac472300 19e245e62b163922611296ffff98d17873be8d79 29b812f5183d049ffab4edb7a9742d4e5e6dbb5f 557c70104c186fbe63c45e57f93358d492d6db64 57b09ec85c32fc95408a4b7933199652dac17c76 63998087a28a21f9ad8cac20b67549d09b9bef1f 92479744d6bbfbda85ef1e90cd9d080bc9a07011 a434e577be8954c9ec83a0d7365b121d9e23dab1 ab0d10ca0cd346b1aa04f34ccc84a0e3937f18c5 b33c116ab3bbedf2c708ac5e3b6889e393b24aa4 b8850c681a54db523432e3761d3fb8298bfea576 c6d06cd84ba1d44fdf01d73f27238cb2104ad386 fb7ea09f092459d37a9fadea6453abf0215aa28d Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2625 Depends: python-nipy-lib (= 0.4.2-2~nd+1) Priority: optional Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-2~nd+1_i386.deb Size: 2308020 SHA256: 050bf3b30587a937605786f96fbc0037dfefb2ae2f97a16c63b33e8f3dae3ceb SHA1: c9a527f3ed1fa7ea601154ccbbe46d2f7204605e MD5sum: 25794de52948d45e19b170be22b42b66 Description: debug symbols for python-nipy-lib Build-Ids: 315a2be1df127af1a2daadd771138f86a2b5c792 32b80168cff66de55d06cd79d9a27f3f369c06ed 4717942dc608804c0821bca39761881e1773764d 4d493382f53954f0803393d4fbd8ff54d279c2b3 5496aa75282304de2e15465d083ee9f3eef047a5 6634e3ec3a7c7886246cc0f7fc94935fc7cfde36 864b57a26a37be6773ef8f465a93375cb45fdd01 995b8e5fba44455890b7b06faaf34706717de998 a9377247fa7b82247b845318abeaf25bb7a0bb39 ad64ae27ee1e3314a5fa5edf807bd8b1332b63a9 c599f6cf213ecbd0eff72bd35863d06bce297001 c5bc7e34e5a15f91850170694daafbc7e13d352f db15d259e9458e57e6be7a49c9ef4fda952846f2 f21b34d545b3119a605eaacb2bc48574e7afe54b Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10997 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd+1_all.deb Size: 1888348 SHA256: 75c8e3ac75f8a7cacfefcbf76565b7be6fb99c2e0857087d8281252a1259fccf SHA1: a2b44d094e9cbf1bed7cd4640c7ff147f9894909 MD5sum: 1942d3fe741ddbd98e43dca443dfcf7d Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.9.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13018 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Multi-Arch: foreign Homepage: https://nipype.readthedocs.io/en/latest/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.9.0-1~nd+1_all.deb Size: 1251384 SHA256: 36093c97eb6696dd15ed170b34829f82bd5fff39522881d75fa1e213609d5914 SHA1: d8db2b1265243e579783e84cac7db05789391d9f MD5sum: 70e0ada0b6165c040758c087b0cd1c08 Description: Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.7-1~nd+1_all.deb Size: 2549110 SHA256: 1f1979920ff2f9b1c9fa05c97dbfbc473df07b69028d955805897a7ab43d73bc SHA1: a8296a50a9c5721f421db29628c2728e6a00d4dd MD5sum: 8a5a855a038d84a38be179231de34b0a Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4101 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nitime Homepage: https://nipy.org/nitime Priority: optional Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.9-1~nd+1_all.deb Size: 2396720 SHA256: 81b4e4a88e77233914fd3119e800234bb9f1ee76bc78c366271f0a481565758c SHA1: acc68eaee7f73a15d54acc175c8098d174122424 MD5sum: 776b4125bea7d917faa538b520fc405a Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 247 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.7-0~b1), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nlopt Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: python Filename: pool/main/n/nlopt/python-nlopt_2.4.1+dfsg-1~nd+1_i386.deb Size: 65716 SHA256: 75ba05934fc585415b9b60b42c872e3eb8ef093d6061c8835ded7b6ec5450a62 SHA1: b94e816f206397430911fecbc46175298269e5db MD5sum: a2f54c4bcd06178d7655c20a6b659ac2 Description: nonlinear optimization library -- Python bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the Python bindings. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd+1_all.deb Size: 5128 SHA256: cb2e2c1da583fc4dd2c737eb6e748c26717ff623d08d0d28b22deacc09eafd51 SHA1: 06cd26e47b00d11c56c9f57261f5f51dcd3e5c34 MD5sum: e40a78d353eefee1076e93c269f9e889 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd+1_i386.deb Size: 119122 SHA256: d99aadff0d317488cd6e24f4f10642108d5218488c1ffee4836b4f6ade65c926 SHA1: 8c419c7def265b896691381a0e5aeb4164456cbe MD5sum: 0eda65e013542e991ef7c65b0ff9d5c1 Description: Fast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package. Package: python-numexpr-dbg Source: numexpr Version: 2.6.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 338 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-numexpr (= 2.6.1-2~nd+1), python-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.6.1-2~nd+1_i386.deb Size: 97308 SHA256: 3edda81f9288809b2edc6eb8629ae4770ad8989404331e7bc03248bfb8647007 SHA1: 3e01254f9ff2a1becc7e9f4b78e109b1db887ad1 MD5sum: 9ed54a5338da109538d59fcfb58f3579 Description: Fast numerical array expression evaluator for Python and NumPy (debug ext) Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains the extension built for the Python 2 debug interpreter. Package: python-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Depends: python-numexpr-dbg (= 2.6.1-2~nd+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg-dbgsym_2.6.1-2~nd+1_i386.deb Size: 213614 SHA256: 6fb76262f0ae5778aaf8996555f9b6812ec5c5f740a1f8ee41e7cb7a97557c09 SHA1: 14164fff1bad9b1e0116dbfce63161c55a5d18a1 MD5sum: 3c5052a5cd1f5bac545ce51f4274e2a8 Description: Debug symbols for python-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: 0c150be71a94017eb456b459e57b980d33829190 Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: python-numexpr (= 2.6.2-1~nd+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd+1_i386.deb Size: 215382 SHA256: e03db321b2b9ca35cd5cf5ca0fbb08f334d1676ea4e47967d9c41ae62efecd16 SHA1: 24365493f8953323aea605eebf235f72d86cbf16 MD5sum: d8e06132f91310f07fb7397d8b59a91c Description: Debug symbols for python-numexpr Build-Ids: 6e8ca8247449128cf02908989236f6fcd5abc94c Package: python-openmeeg Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 612 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) Provides: python2.7-openmeeg Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: python Filename: pool/main/o/openmeeg/python-openmeeg_2.0.0.dfsg-4~nd+1_i386.deb Size: 166750 SHA256: 71ed1a7bdc57e802425a92161db7729c2d3fa709de46bd79501678c1b576e1b3 SHA1: e6d7ffe46bcb45c7fff59c4d705817ec5e9ebba3 MD5sum: c95d4efb64c9d973ea9dfa77c74084a5 Description: openmeeg library -- Python bindings OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides Python bindings for OpenMEEG library. Python-Version: 2.7 Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 954 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.6-openopt, python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd+1_all.deb Size: 245088 SHA256: 720267e7fc1297916d72081d7bffedfc4e911f4cba267f9e83f65ee6cf7eac3b SHA1: 2a31c5c6bad612fa5d880b23d6c2c2628c1aef20 MD5sum: 5ffcdd148bf0a2e648d7c3960953fc20 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.6, 2.7 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd+1_all.deb Size: 220636 SHA256: d42347d8b0fb9ac2a5214c4cb664e54ba635c99d7ba50bd2c320226c4247364a SHA1: 4486b0ef7d2ebebf7befa103fab5762e9f917c1c MD5sum: 9003259d45eaff4b39c8ccc682991635 Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-packaging Version: 16.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd+1_all.deb Size: 17192 SHA256: 9d0ec2e40865cd2c2a838f179534b6a56f48aad4e4916473f74d2eac663a9837 SHA1: f93b19dec144a8424524e50a3699ac63765dfe04 MD5sum: 44b021089123e22cde0541630c5b36f6 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.23.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12456 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.23.3-1~nd+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.23.3-1~nd+1_all.deb Size: 1743312 SHA256: 6cbb698f01f9b3e7eac1724653da3e88dcfa5dc41c6f435476e9eeb84707bfb9 SHA1: 887c5e290594c249e20d08242142138a99f00b2e MD5sum: 65a8b4c89e918038ff7f9f46a576bce3 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.23.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.23.3-1~nd+1_all.deb Size: 18228 SHA256: 2a61e33161598a89c1788c6070ad0254ad4d02764dfb127d6e0d961ec3e0679f SHA1: 5b61228c0192e42c9957d117c361fac494daac71 MD5sum: ed2b6df6f72221018005453ad5eb6b11 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.23.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16575 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.23.3-1~nd+1_i386.deb Size: 2816980 SHA256: 6201e817fcdf3a722980315bf0777d4f308267546ad2d08317bae38fe902e106 SHA1: 81d57c304477ddc39df276bdca73c4ad5489955d MD5sum: d8885107c1bc8b2d98fd04c2d2b4e710 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-pandas-lib-dbgsym Source: pandas Version: 0.23.3-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13585 Depends: python-pandas-lib (= 0.23.3-1~nd+1) Priority: optional Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.23.3-1~nd+1_i386.deb Size: 11996288 SHA256: 09c2160e5341c967ce7b33e35bd1f5a6af4d097dbd207d3e5745dae82f42f1d6 SHA1: f4b8685fbbbab05eb24b7f63b1db14d695abd946 MD5sum: 9e345176f23f646d74d6a3fd4bd2b237 Description: debug symbols for python-pandas-lib Build-Ids: 11272f59c4643fc99f93fb2041ea97836e2bbc1f 12863106db04ffe9c09806777c9e94bed1e8ecaf 143361859d377625c80373ce895e56b48402a928 1534a6f342b83399da3a4fa89af742b977b39b32 1c7b011b0cdca2cd7b68ec612fd86d278e8fffe8 288a790712574074cffdeae3b7c01be71f0b7feb 39c1c2ed703256c262c12a78b2bf4b0127fce56e 3e61c76565f605bc41e550acceb559d159514529 4a438a4a3254ee2bd7b2b5ccde5ed396876e6656 5410e011cfa0d31b978f66f52bb132546510023d 549e00fd42125adedf0edd0a33fe9b0ae471bc53 574386b88721a00a671f146d4871b1ddac9a116c 5be6526619b67f91caba957725dc3819d56c9a59 5c1d1fc9c145b4e3f249fc1a474984d79c10a33a 60136d3703f111274db15780404a0de191ee4afa 758b53beaf34c8ae12de17b1278227375b2c5c2e 7cb8abd950d1af3e4e3210570fafc47e936efebc 7ec36f17912ee6bb286a972344b8081740b618c3 8c18eeefcad0ad1f1a5f748de7f142dff4d23f20 8e0c97c029e2ba78f1a3ff102328717d3e53f754 948fee00ed36c17f59822457f30b94ba76c5a0da 9b9a4378ef3a0bb9e6c130c8e2daad6d598c50b8 9ca8234524b65d974eabefcbd0c801f808b2252d 9d5fc7c4ce3e4a6f2843c0eeb88f5ca1b655afbd 9f5dd015090d191cbce90154477d543be9456f49 a1088000d00fa103593f419d3fa1bb911204d24a ab6e65b1f691243ecdcc33b508572360abcdb3e5 ad94aa89bae1283a84d1a4aed12a23bb67a78c43 aedc28ba0f630ac73167f0a4cf1533aa145236f6 b2c4014deb3481ff66805de5f207cd10f9010c6b b434041f925dc354112b8da048dabb4e29772cb5 c03feee5be958b3468d9ce4dab31f0210456b3d4 c4c303018c3acf207d16c5c0c5ae94275a17966f dc565d184b0f99cbb90a154388fc80586371321f e36478f0e5f768d0fdee7908f0540ffa74cffe25 e59d5b394ee7374061453637c7267fa715dfd6a5 e72c8225e173aee5e53a5c56043e1a23257f1693 f261d82ebf67e339f8b6af8713e6194d18fa2048 f641b3bff808fe7bbfe787e304d85ea97575b4e8 fb0e2675b6da68bc9d00d2f3ecbf1e561bd9ca6f fd604ac5c3d2bd508d0fde130fdf5354ced48dfe Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd+1_all.deb Size: 171840 SHA256: ad4f75898a86db29fc267a546c775de8662e69065cf7c75c8f7bfcfdcfa54e43 SHA1: 0115d7b6aec24353ee50d9ad1c049b59cb32a6a6 MD5sum: 98d03d25b4d379ca7f0845cef227228a Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1203 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd+1_all.deb Size: 347704 SHA256: d79af300dd99b0f0d9867aae743f81693df37cb257cf69956c06e07cf714d287 SHA1: 3f03db4a6e8f1427d57726d872fc9339cf1560d1 MD5sum: faaa4f988f0606892205207b17027268 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 141372 SHA256: 4f8e5de7035f1e6394fd7be0f0423350f6e4d98126a8f23fd63aef3ae0ce25f3 SHA1: 5e502b07a69b4933aad7bf1e99c056b2d1dd91e0 MD5sum: 1511960fe4a84a84b6194f9462a88ce7 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.parallelpython.com/ Priority: optional Section: python Filename: pool/main/p/parallelpython/python-pp_1.6.2-2~nd+1_all.deb Size: 34266 SHA256: 6ef3aa699e927edfc8ec788d98beac10bec4de47387f92d79d44b0183b3c3c3d SHA1: d8942b2e7dddc5e29cc52b2a4cca69a392348a09 MD5sum: 36530320f9038b882b0e8b9d5be61505 Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.6, 2.7 Package: python-pprocess Source: pprocess Version: 0.5-2~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd+1_all.deb Size: 83084 SHA256: 622498b433bcf125f5e8fc0fb7a3be3cd714efb78cd6ba21320ef108abb15f12 SHA1: 8416241ee6c6da2af2109351b7c6b75c542612cf MD5sum: fc7c632639c57be7503e921112e50d6f Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-props Source: props Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd+1_all.deb Size: 117330 SHA256: d3f6f6c5cb13da28c91e71de41ec38dfcdb31261f6ddb80cbfc773ecd2e7786e SHA1: 90a3bd01e6a61094554a3d241d80b06e19e6f811 MD5sum: 075bbd0b2d044a5c277277986a1f98aa Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.5.0-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd+1_all.deb Size: 100604 SHA256: aa5707d31328befe09032412154d72dedc52e2e2e497f6474e8d4231c2669d20 SHA1: df7966b4dd1b1a8501ab1daebdc90af287b2e421 MD5sum: 478fdf1ac7a4a6c299fccacd55009c63 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd+1_all.deb Size: 76708 SHA256: c197c437e25ebace54160021a2c13ddbeded173553559e631eafb9d323ac808e SHA1: 735e077c60cfc8240fdbec98ac3eb39b13824b62 MD5sum: 3a15253ac780a325c16834f4fd7e43b0 Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-psutil Version: 2.1.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 539 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python:any (>= 2.7.5-5~), python (>= 2.7~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd+1_i386.deb Size: 116698 SHA256: f59491e653c426db15b640f98bac5755ee5e29429002734e9713502fa1f90124 SHA1: 337c37bd74c1874a2698135e85e828f12d469d18 MD5sum: 3880b15779293aca44750b7aa1715049 Description: module providing convenience functions for managing processes psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. Package: python-py Version: 1.4.31-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.31-2~nd+1_all.deb Size: 82202 SHA256: 2a7ab07684889a19419f62000f613277009e21b2947d793dbe67a0e3408240a0 SHA1: 0545a23cc3b644673cf663a2670aa5708613da6b MD5sum: 910e023f99ba83a1cd988cd00ca8d7ff Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pydicom Source: pydicom Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil Suggests: python-matplotlib, python-gdcm Breaks: python-dicom (<< 1~) Replaces: python-dicom (<< 1~) Provides: python-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python-pydicom_1.2.1-1~nd+1_all.deb Size: 4397048 SHA256: 17d3b6a4c41447ae29701b895146f6db588f9e04ceb54aa45714da6d088da013 SHA1: 37405547ed9f38b8001af25c2a8a689c4d94467f MD5sum: dbfc3d5c1358ce2084f26543f72684c8 Description: DICOM medical file reading and writing (Python 2) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 2. Package: python-pydicom-doc Source: pydicom Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2818 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd+1_all.deb Size: 347196 SHA256: 6f6ae7a98339b19ebadaaa22d327f673cb37f3d2b87438ff698b6de15a398f39 SHA1: 05962aad9e73e27867c99aaa583fc3508012e277 MD5sum: 85849a8984ff15de6e8f5fae5cf2356e Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd+1_all.deb Size: 22016 SHA256: a86f76530d6380ee24f55da272fb56237a9e46656a3e11ab8ee44e1012a5dee1 SHA1: 59697a316f3c12e9a5748b5d094ca528a6282ef9 MD5sum: 154dcec27fff09fadb84a2867c44d1cd Description: Python interface to Graphviz's dot pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. Package: python-pydotplus Version: 2.0.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd+1_all.deb Size: 20328 SHA256: 52accd318f778d085e4db85025cf7b678268aa51d30fc7befa1413dc647874d3 SHA1: 0cc2ad571cae1d0724d050a5d2336475f06eb188 MD5sum: dd5697e2ae6f63817f03f244f7b6187f Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 533 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd+1_all.deb Size: 47706 SHA256: a148eb0396ca9df5ff4b79cc876d69a364c02492867687474629b1c67e6000aa SHA1: bb25b9173d6d98c0508111e38910613dff0c2a88 MD5sum: 73fd29599ca5adfcdb7847e6b4f0f8e8 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.6-pyentropy, python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd+1_all.deb Size: 21334 SHA256: 3ab479e9d42286158d724eb219d6205e3c8071a2a8fd6436afc501b57ecf086b SHA1: 19b81597aeb2806a30580c43b1fcf5f5ad3d586d MD5sum: 662336ec73a1d4c272a6d2763ef118df Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.6, 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1314 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd+1_i386.deb Size: 260110 SHA256: 55430f537fe25cda32cb07bb6658493e7c7838c97053fb4f89685d7d61fea4e9 SHA1: 0d339b73587d25044abb440680446c5af029392a MD5sum: 1ecb03d991714db6e21836d6a4aafb47 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 813 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd+1_all.deb Size: 819288 SHA256: 7eb7da90f6e629e4f1eb828beac597cd0d9950fd05a06f9bb135d2e58d6a2d13 SHA1: 6fd9ebae91ca87f9a3efa61b64ccb01de6b033f7 MD5sum: b608bf8ddef20a65f3bef3f99781ed82 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd+1_all.deb Size: 1421996 SHA256: dd6e03d1da81c3f8910a33addb86955021880574dcf6da5873c5e8cf4b7ccc08 SHA1: d4f389d1bb5463bef99fe94512a42668cdd4f8e1 MD5sum: f3cf5654c9f9f531c837a0de114d0921 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pygraphviz Version: 1.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 390 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python-pygraphviz_1.3.1-1~nd+1_i386.deb Size: 74910 SHA256: 9c74846b60da663a8ed2700f6bd630050be81f096c98bf7f2436a00f30650eff SHA1: ee91f3aeb55a499273d9b8392d21d03a0b2255cb MD5sum: 24d418a83f062e08531a40eab6ff3a95 Description: Python interface to the Graphviz graph layout and visualization package Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. Package: python-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd+1), python-dbg, libc6 (>= 2.4), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python-pygraphviz-dbg_1.3.1-1~nd+1_i386.deb Size: 103304 SHA256: 3962c7cc3b10672cd8f47da025ecf4913c96b1c9b3239b7ea2d3506e304f3f1e SHA1: 0c211a5d23894fa36863c65790d21d26b8a0ba5c MD5sum: 3dd2d521539a481af575295425856f47 Description: Python interface to the Graphviz graph layout and visualization package (debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python-pygraphviz. Build-Ids: de0516179a91f057a29f17181cded67a00c38a10 Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd+1_all.deb Size: 68268 SHA256: d5e07fcdd236fd0c4eaf53f0006d03964386d7862fd6118efafcf3ef0438b75f SHA1: fb4510a060f5da5eddeb7f796e53a444484b820b MD5sum: 1574b28a58f374f740581b375c1a2ebc Description: Python interface to the Graphviz graph layout and visualization package (doc) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains documentation for python-pygraphviz. Package: python-pymc Source: pymc Version: 2.3.4+ds-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2629 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.11), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libquadmath0 (>= 4.6), python-scipy, python-matplotlib, python-nose Recommends: python-tables Suggests: python-pydot, ipython Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: python Filename: pool/main/p/pymc/python-pymc_2.3.4+ds-1~nd+1_i386.deb Size: 527012 SHA256: 331bac9d422fd3985e55b6b4b6809aafba7f181642cb6f68ca22ceffae96bb0d SHA1: f6fa69d2165f27f38a20cc679f5f48556edc8dbd MD5sum: 373b7d45888817d64f35ae515d76a75d Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1860 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd+1_all.deb Size: 839812 SHA256: 7b1065ed4bec2186333d05434ac2369fc6d0f67bc6b97416ea71a067b35c1674 SHA1: cf73784906e058cec17d8d2ba831d09b877bd10d MD5sum: 253948e97486b725a69427e9806b090c Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd+1_all.deb Size: 192126 SHA256: 4c25bbb4a6efbe9c9614c69977d255840ceb5469e917e9e42631963e11fa73b5 SHA1: 4d68ad72d900c06b6d482eaabab6847de44296f2 MD5sum: bb6a423667c3716a6baee943a4d73d50 Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd+1_all.deb Size: 98072 SHA256: f243f7afbc28b9bf0758c8f9354c463e98c3b740b8bdd82e17170db8baa10d6a SHA1: 7ab0c15bc04651957293a179d9cdcb420324db30 MD5sum: eaf53696a17dd0d98a3a4a3753eb571e Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python-pyoptical Source: pyoptical Version: 0.2-1~sid.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 72 Depends: python-serial Enhances: psychopy, python-pyepl Homepage: http://github.com/esc/pyoptical Priority: extra Section: python Filename: pool/main/p/pyoptical/python-pyoptical_0.2-1~sid.nd1_all.deb Size: 6946 SHA256: 61b96afae4d2c43351ad598253b8b38fff6b0c2d99669f49f431b8d8678f89be SHA1: 8442b14c93a7d2c3718d78655dc85fef951bcfaf MD5sum: 1eaea3d3d51bcd440299d8aa65220111 Description: python interface to the CRS 'OptiCAL' photometer The 'OptiCAL' is a photometer that is produced by Cambridge Research Systems (CRS). This device is a standard tool for gamma-calibration of display devices in vision research. This package provides a free-software replacement for the Windows-software distributed by the manufacturer that allows querying an OptiCAL via a serial connection. pyoptical can be used as a library for third-party applications or as a standalone command line tool. Python-Version: 2.5, 2.6 Package: python-pyperclip Version: 1.6.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd+1_all.deb Size: 9508 SHA256: 22b65b196bc558f97faa7cf1d1acf8dbf97bdaeb8c3340747ff80d19f433839e SHA1: 3506f108c9d6ec562c7aece0927e3471c39e2fb5 MD5sum: 71da9fa46484cd50aad6d092ed2409fe Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2300 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6), python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd+1_i386.deb Size: 668202 SHA256: fc336c82309b3d3ad9d796a9728bdebd0841f1d5df2bce04548e41eb9f8dba81 SHA1: 3f5672bab06fdb3f556a6028ab9d1baf561580c0 MD5sum: fb010786d6c6c8185eeec97327f177ae Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pyssdh Source: openelectrophy Version: 0.0.svn143-1~sid.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 792 Depends: python-support (>= 0.90.0), python-numpy, python-scipy, python-qt4, python-mysqldb, python-matplotlib Recommends: g++ | c++-compiler, python-mdp Suggests: mysql-server Provides: python2.4-pyssdh, python2.5-pyssdh Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: python Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~sid.nd1_all.deb Size: 119482 SHA256: 047337422d8c671d1ca38e938384c985fc1fac566d178123b6cb5ee4d1fccc51 SHA1: 2fb56ca17ad07ee58955caf8de17a4cd24d3d85a MD5sum: 1790628c9012a2ae40aff02998bd9c41 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy Python module. Python-Version: 2.4, 2.5 Package: python-pytest Source: pytest Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 649 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_3.0.4-1~nd+1_all.deb Size: 181322 SHA256: cdfd679ecb7bfc48ae1c7898e0e78cea0d4662296e0dc5ad69b187bc3be4a268 SHA1: 4130c6041564a80cf302e4c742d9ec171349f6bf MD5sum: 51aa55e3d75f545ab5f4705bbf7ac372 Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 2 modules and the py.test script. Package: python-pytest-doc Source: pytest Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4029 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_3.0.4-1~nd+1_all.deb Size: 668172 SHA256: b12cc635cde03357d0246ddec2b894f21cc5a72f4a921ea2e9b18b0da502e0c3 SHA1: b0e9f47b222acd11ede6c7a982cb9daa93d67bcb MD5sum: 654469dfeecdaa21d6cff6de89919829 Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://bitbucket.org/pytest-dev/pytest-localserver/ Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-2~nd+1_all.deb Size: 19198 SHA256: 2f64f1b2a625a270c68948df4a43096ab186027c6bd069c70269ecbcfdaf3624 SHA1: ab00c431d40fa8348c18a58c0caf96b243fbed45 MD5sum: a98bc5d4e1452d03901d3255e66ffa5f Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd+1_all.deb Size: 5648 SHA256: e5920e43e010f58bc1e1330d50856b4bd7835295c5493ed9bc5de4dcdbee6700 SHA1: 5346fa774430224e768520a0c1d2a9ef999e9c4f MD5sum: 5b573689c8eec7d51ce53b18bcf26728 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1_all.deb Size: 11020 SHA256: 1031c0d69dd73cb38f3e0b826193211706a94bfd04da4287288418b257e54249 SHA1: 0f0d0524354e5d07eb89efcb11779d9acd9d57e2 MD5sum: 1f2a9bc07952b1f5c6b65fc5c092f75c Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-pyxnat Source: pyxnat Version: 0.9.1+git39-g96bf069-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1722 Depends: neurodebian-popularity-contest, python-lxml, python-simplejson, python-httplib2 (>= 0.7.0) Recommends: python-networkx, python-matplotlib Homepage: http://packages.python.org/pyxnat/ Priority: extra Section: python Filename: pool/main/p/pyxnat/python-pyxnat_0.9.1+git39-g96bf069-1~nd+1_all.deb Size: 376516 SHA256: c44e63035749ea2429ed9f2aab12e3ce41aa533de51f0cf3ce9836f882e3a477 SHA1: 2baec2a6b0c311f22f1a6e685cea20ae7019dac7 MD5sum: 603bfa4501f120f7ca01ed5ed95293b0 Description: Interface to access neuroimaging data on XNAT servers pyxnat is a simple Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or Python scripts to process the data. It features: . - resources browsing capabilities - read and write access to resources - complex searches - disk-caching of requested files and resources Package: python-quantities Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd+1_all.deb Size: 62610 SHA256: 24764ab44e8e2357cdb8d4882acce352d96b34ed6b3af8be217617eb51848f83 SHA1: 9367905e8af4cb696831c327b20e43a3e2d52616 MD5sum: d08b442a214c35f1e1f9fa595d311cf6 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1255 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd+1_all.deb Size: 253294 SHA256: 1c7e621c4b3f1f95cf6875b985737b27e0bf4bbc53eb8d87bb8f3e2badd4fcce SHA1: be476cce5ebe3d04f92306a180520959d4ff239e MD5sum: adb965a2340a0c6b58ac0f558bcba089 Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8178 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd+1_all.deb Size: 604528 SHA256: ae81d21dfd56954be1a858531eeeddea5381a1d2846d59592352ed9975a86c71 SHA1: 23361bfab6472aab6fb044436b837d2c9d7a731f MD5sum: ca0247834b882c511a4e4c2029388925 Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd+1_all.deb Size: 27118 SHA256: c723e9f2d338d7e950f333b3d5bc1a6584a54e9f39ed65c32f0721d0f321ddda SHA1: e582fd215ced26881ba0461f1d7563b7cb416cac MD5sum: 8a9280199108d415919f5451d0c9edfb Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd+1_all.deb Size: 68094 SHA256: eb91a7265a33845b9a7d111f5328560c3b3131e9799ff3e8a85118509163969c SHA1: 2230a4dbff6c7ddfdbf027b44be12c8bb9247408 MD5sum: 6a4d3e4142dc715bbb19a2f066163bfa Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd+1_all.deb Size: 318990 SHA256: e7bdf804a4a112774d95c37d3dec8c74cc89e1dd097622ddc66fd3a4383a4056 SHA1: f6c61d789ccd724c608531946dcea388ea8345cb MD5sum: e7ba98f7af12e72068c7d563bd2059c5 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.6.4-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd+1_all.deb Size: 23154 SHA256: 9b81c91b44213af26bd07acf2e389e4500d9b85a8b9c36e2c603e526a4843237 SHA1: 7301a35f6d810ba96192e1dab4ca6b5a727fb9c1 MD5sum: 47fac9d9da90ae5dc4893b216133b2fd Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd+1_all.deb Size: 85628 SHA256: 86b44d1411bc3cbcf58ed609d6d38a1f312af3d65cd8209cc629eb843ff5c06e SHA1: be19ad7230cc6d91217182f5e3ce826458bf8320 MD5sum: e502f2b08f34d455881f2f05b96a4236 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scikits.statsmodels Source: statsmodels Version: 0.6.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.6.1-1~nd+1_all.deb Size: 5916 SHA256: 9bc5375614e5a8fe5d0971b590cc7418ed54ba3c13f74c19608f9f0bd942bcda SHA1: cf13e973da4b7e8bdc21f82a02a155afe465ee97 MD5sum: eb4bf6a7aa273d56602a55d601134c11 Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 986 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python-service-identity, python-six, python-twisted, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd+1_all.deb Size: 175798 SHA256: 6dc7f6e606591df2b833589c36efc783d5ced94cbb56de524e6b49eb8ce1106e SHA1: a6c48350ffdbdd0f2b364c5499c0a8bf4c6b767a MD5sum: 2b4bd67679a9e89b6695bedb4ebdd9cf Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7133 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd+1_all.deb Size: 1540270 SHA256: 7df7413c2bf7b2719ad9909232e3cce4c32527fae7a1d3abf1d27028161977d3 SHA1: 58bf858628c0aa49dd7603e8b170de65105c1e69 MD5sum: 83e38127fe1d883c462951c0a8600788 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.7.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.7.1-2~nd+1_all.deb Size: 128136 SHA256: 9b7286a9c5b491dd0e9187c25cfa30633be18731a0c359124088cfcd94e1ba3d SHA1: e1eddb400592de29535e0b7a87dc60030c4f5d57 MD5sum: 84bcead78cea6d9900aa75d6cd83f959 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 202886 SHA256: f75d02695f9b9a8ce273133bd2cd224cdcbd7defe2ac02a1d21a80462ea53057 SHA1: 1ee8a1b68aabe5d8ce93e32de45460af1c09ffbc MD5sum: f4322845a4f428a447adebe9a8c7e2e0 Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. 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Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd+1_all.deb Size: 11454 SHA256: 2471d7fee8d771b29d6767532798cfa448170efbd1b52b756804f09bc238c6da SHA1: a00adfcd002ea4b8c101ba54564e67e573e85809 MD5sum: 139fa01be309df44565764efe6cf6ef9 Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.6-simplegeneric, python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd+1_all.deb Size: 9802 SHA256: ccfadfca5d3a2796000fcc3d0ada9731e0f45258b365c0ee84591f3770427913 SHA1: b4bd46ca82b53ea624e1ffba0de0728089a89140 MD5sum: 0482bb6d6be4162e4e3e57a5a181d55c Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd+1_all.deb Size: 14662 SHA256: 99717b68328a428de8e786bb9fee15917d0bb43f65cafa970a3f839dec79dc1a SHA1: db9587d8ebc9f4d37378a15f99c92a0dbad38282 MD5sum: 3b113dd2fb1fef80524f06924a947d7b Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd+1_all.deb Size: 14068 SHA256: 2170b7f8588c9c50ffde947fe70ba7ee23e4a899dd7bcd4fdd8e4acf018b7aa0 SHA1: c9da3c5c5bc83e15932ce61841bee6534a6a3cb5 MD5sum: 11d3292a4ddb176dedd09264dc4d1420 Description: Python 2 and 3 compatibility library (universal wheel) Six is a Python 2 and 3 compatibility library. 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Package: python-skimage Source: skimage Version: 0.14.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26057 Depends: neurodebian-popularity-contest, python-matplotlib (>= 1.3.1), python-networkx (>= 1.8), python-numpy, python-pil, python-scipy, python-six (>= 1.10.0), python-skimage-lib (>= 0.14.0-1~nd+1), python (<< 2.8), python (>= 2.7), python-cloudpickle, python-pywt, python:any (>= 2.6.6-7~) Recommends: python-pytest, python-qt4 Suggests: python-opencv, python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.14.0-1~nd+1_all.deb Size: 19911532 SHA256: 6962854a93d4ece86088e65b2918fce12625d1bb3782ee9d333075c5854a35f5 SHA1: 82ab3a338f1420e2bc60ae302a3cccb0d342ef92 MD5sum: 24722b220785b6918361545ee34450f3 Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 2 module. Package: python-skimage-doc Source: skimage Version: 0.14.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1682 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-skimage Multi-Arch: foreign Homepage: http://scikit-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd+1_all.deb Size: 787348 SHA256: 6e8f8272bdb35e31783fda47dd727a3c2a12da42b344907172421d58a2a0434c SHA1: 794801ff49259ace47897c24a092353f3b7aa2d2 MD5sum: 36b8d1a816307d207c77bafe59c521a9 Description: Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.14.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10637 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.14.0-1~nd+1_i386.deb Size: 1400584 SHA256: d14ee1ef822c6beed0faf49f1895a3db2a642332e9252bf9b3f8e24030fee5a0 SHA1: b4867f5355b48d1505f4c79a1694777982ccf675 MD5sum: c917f903a07d20e91bde77cd531b5151 Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 2 libraries. 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Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.20.0+dfsg-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87572 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Built-Using: sphinx (= 1.7.9-1) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.20.0+dfsg-2~nd+1_all.deb Size: 39858144 SHA256: b30afea270680b5b665dab0c702f4d451c99372a5d29f99371d374908a365ec7 SHA1: dfcef2e5e6905d726928a642ca1fecb50aa7779a MD5sum: bc63370871a7a55b3cc34b27a28bb2e3 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7362 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.20.0+dfsg-2~nd+1_i386.deb Size: 1351320 SHA256: 29fe8407b095aad59a6681dd76826307da86f3685235664c48346a0fbea21054 SHA1: 2d9b052a3b27e72336217274caae41bee4cf1262 MD5sum: b25dac7ededa58db0e1c1ed49c274e85 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd+1_all.deb Size: 23998 SHA256: 8abc486efaa0e19f2133a2b68e37f893e9eacc7e8ca6497a72f6ad14edb99f28 SHA1: 49a1144b4dd53c52b8179b8a3c27beeafbf54426 MD5sum: d6a6b1716c29e86d24243c9ee019b2b0 Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4188 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd+1_all.deb Size: 1260238 SHA256: 6b0bdebb3903a4eb0a75440f121dde7c531d0b7b060d33223f1185d9e0a27ce9 SHA1: 555f959d260ce486fb4395838b0918eaf71fab5e MD5sum: c52dab199b31675ed95d4298586b8ed2 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd+1_all.deb Size: 71856 SHA256: efd84aef166a6a5190fc79bc68456385f476a70586d04ce39102ceed6966aa81 SHA1: 16bf48267b688d3b7249579ee559ead57bb745b9 MD5sum: a26aac512f3d1cf150d90ad0c6c3cccc Description: extension that builds an HTML gallery of examples from Python scripts * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2590 Depends: neurodebian-popularity-contest Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: doc Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd+1_all.deb Size: 1324376 SHA256: 01cb3dea77fc73964e799669388e464562c7f5477747b2cd561f3b58b33cc6f0 SHA1: 38a32c0c2de58b6d8d45d3dab5df76b85e76b658 MD5sum: bc53c6b5ccf4cd781a47951b7aeefea6 Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd+1_all.deb Size: 117140 SHA256: 6c9a6db7304b5e89b7234974e577b9c57f42d4f363a8e84d2e29ec9f8a64616d SHA1: 9ce250a1f9b8fc1728058c2808026b47da96ebcc MD5sum: 185c9304fc5463f7488db9b1fd36e992 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4028 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd+1_all.deb Size: 1651710 SHA256: a848e076d4c5edb65fb283f745212616fcf9a34e60d9b1a8856567a394ba1107 SHA1: 50297650b3e49c95185c7857e668e4e21c720064 MD5sum: eabe7544210191b0f23c9a80a9065e86 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-spykeutils Source: spykeutils Version: 0.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2096 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.3-1~nd+1_all.deb Size: 308836 SHA256: 0246c36a593a643572eac1c12920230c02b37799bd332843ac51d360b967051b SHA1: f8731b78bfc5462a11c7af4da709cae146e41e9d MD5sum: 4ac90d2bbf1755bd864efa79c691103a Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.9.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23187 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-statsmodels-lib (>= 0.9.0-2~nd+1), python-patsy, python-pandas, libjs-mathjax Recommends: python-matplotlib, python-joblib, python-colorama, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.9.0-2~nd+1_all.deb Size: 6225248 SHA256: a4ea994aad7231d160f711e965e3f0b5959a57e19e0643a8e3ee192ca15c732d SHA1: ed171a52ef0620765b824649f1f6a84b7bd4cf95 MD5sum: 175b319fc8decf5ea32475fc0976d5ad Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.9.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 78997 Depends: neurodebian-popularity-contest, libjs-requirejs, libjs-sphinxdoc (>= 1.0) Recommends: libjs-mathjax Suggests: python-statsmodels, python3-doc, python-numpy-doc, python-patsy-doc, python-pandas-doc, python-scipy-doc Breaks: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.9.0-2~nd+1_all.deb Size: 11561216 SHA256: 923c75d44f69aacb83de3d3d3e054ff6a021bafb2a9b65d228523e6d894ef14a SHA1: e11f7b80ae3dbaea0db6fec8c4d36f650cb867ba MD5sum: 54f6a406d656f8324199b8110221eaf1 Description: documentation and examples for statsmodels Statsmodels Python modules are providing classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. . This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6584 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.27) Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.9.0-2~nd+1_i386.deb Size: 915164 SHA256: 463e6c9565a5a59c2b1badd1608ec8dfa0436e0927efea0008f07992c3df4bd5 SHA1: 5b303963d4efc815218b69ccde0322bc72a3d4b8 MD5sum: 64ec44170046ca676d65a27a5646262c Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6274 Depends: python-statsmodels-lib (= 0.9.0-2~nd+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.9.0-2~nd+1_i386.deb Size: 5491092 SHA256: c01e49b282a557acb0334deca1425a764f9bc5f5e7f49fb4333f186e8fc5acdd SHA1: 1bb82e529be773f128c6340eb0d3efcd8794cb1f MD5sum: 1f55652d742c4bf93e80cddb123162d1 Description: debug symbols for python-statsmodels-lib Build-Ids: 0711395266d78bb0b738f0708ea9e2b2decc94d9 0a3978f4062a1e8bd36833c853d799566f0b8518 0e2da1f1755f64267e4e06f9ab9009b60801b7ba 11a2956c8a2853b8f38f11e9fc9fe0c26595f25c 2e3ca026a71ffd1cf523a6dc862dc515f3980935 46e4226598ca5acd5fa1dd99207000c7cb7ea40d 6a8555433712d7b002ff9f8f1c7e02bb768907a1 701c2f65731234c864af1911e4242edebdb9f602 773a0e269937583861145bba42cdf35201981dea 807621ba8a2acfe8ca815841ca8e864320eba8c0 85a1d02236ca639728ad1e3692ee8a0644d515fa b6cf1c4c18bf834b8497109a868081386b96acac c2ba86d81065393e2d76e1c24946b53b9497bfd6 d1e1989ada636169fe8fd193472937e209a51b6b d1ecb7082b2ee9bef3f7a1b42583464c41da12ad ddb34391c40f6dc0db061551d366f96e03e56fdd de8d73846c7524fad370fcba62975d10692068e4 f9bfe213629c0f70560eac349e80a24a1e4e7c27 Package: python-stfio Source: stimfit Version: 0.15.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1466 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.8-1~nd+1_i386.deb Size: 506596 SHA256: 482fa593e663fb5554c58b5a54d81f5142a897b0a7cb15a3dc51b343c5e5a18a SHA1: 6402bd2aa6e2ff6cb7b4943accd4754b5f890d5f MD5sum: b3f39e95cd749094c19431e78bf9e76b Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-surfer Source: pysurfer Version: 0.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nibabel, python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.6-1~nd+1_all.deb Size: 43190 SHA256: acc7fbfc89d8c5200633705b40325ad457971313204c3f737aa4a49e645657ed SHA1: 0f70b1794d04389e6680c11ee2a98d4d98fc2227 MD5sum: 706f549c94471dfd7ac06207255436e8 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-sympy Source: sympy Version: 1.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-mpmath Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_1.3-1~nd+1_all.deb Size: 3499776 SHA256: 9ac64f2213fe992fa719298c7ea9bd12d631ce5cdc48143b9adf6ef6b2ecae5a SHA1: d996c3001d1cf66ee339a747832a0dcb2a57f0b7 MD5sum: ea5cb27b44902eeaa185ba4789c96416 Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-sympy-doc Source: sympy Version: 1.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59105 Depends: neurodebian-popularity-contest Suggests: python-sympy Homepage: http://sympy.org/ Priority: optional Section: doc Filename: pool/main/s/sympy/python-sympy-doc_1.3-1~nd+1_all.deb Size: 7252848 SHA256: f115ce24a48776622b1b3a5f4722f341004b689d3f6f84be2da31238052fd6e4 SHA1: bb1177d89cb0a3e37354c5ffc2a87c79d8d18f9d MD5sum: 5c40d02598faa23a1ef34196b4c68877 Description: Computer Algebra System (CAS) in Python - Documentation SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the documentation for sympy Python module. Package: python-tables Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2815 Depends: neurodebian-popularity-contest, python-numpy, python, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.1-1~nd+1), python-tables-lib (<< 3.2.1-1~nd+1.1~), python-tables-data (= 3.2.1-1~nd+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables_3.2.1-1~nd+1_all.deb Size: 344840 SHA256: 3493c792072ab913aef70030022c75ea4e63783024c7347848bec635dba5456c SHA1: 9a3a846299057d4f75db3e005ef2486fc1c34c67 MD5sum: 1d45c911dac8c853a81718c16e8eaed6 Description: hierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package. Package: python-tables-data Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 957 Depends: neurodebian-popularity-contest Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-data_3.2.1-1~nd+1_all.deb Size: 51248 SHA256: 37549f40bb3af4758ae9d9a456fec6902b07b257a0076264727c4398f3b5f393 SHA1: f0f3c1a62e58c989da869240aafc32f3b2f8a528 MD5sum: 9292011acdf9edc4d7988c5d9060f467 Description: hierarchical database for Python based on HDF5 - test data PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes daya fils used for unit testing. Package: python-tables-dbg Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1701 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd+1), python-tables-lib (= 3.2.1-1~nd+1), python-numpy-dbg, python-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python-tables-dbg_3.2.1-1~nd+1_i386.deb Size: 464548 SHA256: 41c18c1704e6f576934d10c9aec1268569535835e443937701ac3e0e655c6e7b SHA1: 02222fd989875141ef1a4573c1f45d983650a6db MD5sum: b97e5aaec52dce46437f480a56e757dd Description: hierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter. Package: python-tables-doc Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8931 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-jquery-cookie Suggests: xpdf | pdf-viewer, www-browser Homepage: http://www.pytables.org Priority: optional Section: doc Filename: pool/main/p/pytables/python-tables-doc_3.2.1-1~nd+1_all.deb Size: 4249302 SHA256: 0261a6906b3f11e19de72907f72181e28b0ceaa39ee09cc4f986a0aa37109618 SHA1: 4b89ae7eb63a55068fb800ce79157454b8067e4d MD5sum: 1110d75f3980e0431b8739c7d08c485a Description: hierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats. Package: python-tables-lib Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1369 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd+1) Breaks: python-tables (<< 3.0.0-3) Replaces: python-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-lib_3.2.1-1~nd+1_i386.deb Size: 367370 SHA256: 42c22765ab770912d4b7a8319c44fbd7c16941356e1c81dfe463edee14326ea7 SHA1: 6e2cf32e0113ce141531d19c50db1d86e5cab525 MD5sum: f3738a00dfa86b9a6ea8dec99bd5a1cf Description: hierarchical database for Python based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 interpreter. Package: python-tornado Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 944 Depends: neurodebian-popularity-contest, python2.6 | python2.7, python (>= 2.6.6-7~), python (<< 2.8), python-pycurl, ca-certificates Recommends: python-mysqldb Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd+1_i386.deb Size: 223240 SHA256: e48226c5f84e8edfd0f5b9beefb6ece2a95a573777c4382c4523089845ef8ec2 SHA1: a545ea826a1877eebe7e2cb8a0686320554751df MD5sum: 841fa03b37ae50ab479c174e2ec0aa48 Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-tqdm Source: tqdm Version: 4.11.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.11.2-1~nd+1_all.deb Size: 49624 SHA256: 7604eaf9c616c43a5471f33580c8bc84e3998d84c27f3218ea57f0505079ecb2 SHA1: 1a59d105cbbcd130eacbf60c7db11e608f59e66c MD5sum: d21f4200e1240e8ba7959068c299f4fb Description: fast, extensible progress bar for Python 2 tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 2 version of tqdm . Package: python-tz Version: 2011h-0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 180 Depends: neurodebian-popularity-contest, tzdata, python, python-central (>= 0.6.11) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2011h-0.1~nd+1_all.deb Size: 46912 SHA256: 0e8fdcb7a39493961a0d36f489eb13080b7f1e52a6d8324fedeb2d9772af249a SHA1: b1818fcc06cc8630f2af4eb25229e441028a0d81 MD5sum: cdd882a56d74682e4229bc00421ee82b Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Python-Version: all Package: python-urllib3 Version: 1.12-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd+1_all.deb Size: 65356 SHA256: dd3c3e31a0d8bb5471cb1330d9bbe68a9a58e28e1ff5e4898405e1603b0c8474 SHA1: 800bd6128fc8a035a7afdcd5fe8a5c349017ff7f MD5sum: 2edc4725cb1341b7f9488733bd593694 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd+1_all.deb Size: 92820 SHA256: 21412c99d8b2a8b234f00ccd587610414c5bddb9eae3bd159e987d2730c44e2c SHA1: faf759e621b5fa423b40773db728fd823a5ea27a MD5sum: 08adec2012fd6895cfc8ce53ff7d6907 Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd+1_all.deb Size: 43522 SHA256: 77ab97cd48b87aa68889d39a235da7456510032690244b58d17debfd9668f851 SHA1: 21b51ade6789d7d502a864ce2d8b8720a19ca094 MD5sum: 64b0712a730827639201fdfc39e8f372 Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1731 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx, python-numpy (>= 1:1.6.1), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd+1_i386.deb Size: 671302 SHA256: 5138195ee25976221445b2e1d47bb824b3f5a9c1802a7f7b66af72069bc9557d SHA1: 52ab53e616cf5d317ee5adb80ad408a4574b30bb MD5sum: fc23f84105850abddde54cb7f2da277a Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-vtk Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28222 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), libavcodec53 (>= 4:0.8-1~) | libavcodec-extra-53 (>= 4:0.8-1~), libavformat53 (>= 4:0.8-1~) | libavformat-extra-53 (>= 4:0.8-1~), libavutil51 (>= 4:0.8-1~) | libavutil-extra-51 (>= 4:0.8-1~), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libopenmpi1.3, libpq5, libpython2.7 (>= 2.7), libstdc++6 (>= 4.2.1), libswscale2 (>= 4:0.8-1~) | libswscale-extra-2 (>= 4:0.8-1~), libvtk5.8, libx11-6, tcl-vtk, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4) Suggests: vtk-examples, vtk-doc, mayavi2 Homepage: http://www.vtk.org/ Priority: optional Section: python Filename: pool/main/v/vtk/python-vtk_5.8.0-7+b0~nd+1_i386.deb Size: 6785588 SHA256: c24707f0b2c1f645b1db29c9c9276d44e0d5151f52f042baf5401e923d419a25 SHA1: 20cec804c9a2a38cecd7deefb62510dbc34b7e13 MD5sum: 2689898d8feac2a9e552601460675e6b Description: Python bindings for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This provides the shared libraries that enable one to use VTK from Python scripts. You will need Python and vtk installed to use this. Some useful information may be available in /usr/share/doc/python-vtk/. Python-Version: 2.7 Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd+1_i386.deb Size: 91752 SHA256: dc977a642d4cd57dc16317e67d2c6acdfd7bac4eefa6965614e526aae3dc3e8a SHA1: b90ef21da5b7f0c7be4dae0b478b52ebbf0496b7 MD5sum: a44605c17fb3fb2a9792f311d79209aa Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd+1_all.deb Size: 14094 SHA256: b7160742d1d6655d949e6a11303b3d861d8a9ffe4cd2b5dc02b90e4690c25bcc SHA1: 619b171f50cf2fc3f8a3d0ae40681464f2bd2ab7 MD5sum: abfa0ccef999dae58e5894ffa4af82f9 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd+1_all.deb Size: 165572 SHA256: 7be4f3e227cb2aa792e79c5b7ccc6c3b878436e040471324db1dd284bc7ccdb6 SHA1: c0910fc03848e4825f9e1d276edd2a728981ce3e MD5sum: 35744ae66a39ca40f586d3da5dc66a57 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2709 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd+1_all.deb Size: 881836 SHA256: 23b0fda78028dc71c9645cce224cb3c01269827fc90c6429f94c3cb7ebc533dc SHA1: a9cbe941509ee644d02f93eff5076afb4dfcaf9d MD5sum: 6b2655fad599fafea5535c47d130fcc1 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd+1_all.deb Size: 290688 SHA256: 51f3378a1fea12569750b068126cf7691df7a54f6d6ca7216582762489594653 SHA1: a1c8d29cd28cc050b894e36959ef77988f8f9756 MD5sum: 857803a7241d78dac4bd30cec3faee8f Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd+1_all.deb Size: 241310 SHA256: ad2f189b827cc384a36ac81ca1f69d97f78e55291866d458b96c7bf83315c2ec SHA1: 8e12fdec0367cc55549c53062362390797c0bf94 MD5sum: f447fb383c7138a4b91a9d22461b4d24 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-workqueue Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd+1_i386.deb Size: 137584 SHA256: 0e882af60fee16f7ee63a5c1e46dcf1902827e3527e39afcbeb5ce6f4157fb31 SHA1: 7e50b2f22c87129e11a8262de4bf72c7f0fa3ce7 MD5sum: 712385ea8df020ce46d1c5de45216df7 Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python-wrapt Version: 1.9.0-4~nd0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd+1_i386.deb Size: 32704 SHA256: 89da67e1f39ee36b8867600f332adeff0058f471ce5da400c5eecd5cfa981e31 SHA1: d1028185301f639bea924de4e7ced336d546fb39 MD5sum: c863a384a3da8c74c08d08c895d0f892 Description: decorators, wrappers and monkey patching. - Python 2.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 2.x module. Package: python-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: python-wrapt (= 1.9.0-4~nd0~nd+1) Priority: optional Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd+1_i386.deb Size: 24450 SHA256: c5fee7342d2baf24e4b822cc9af8261b3dc48a49c98649e8b3572def19f5b9a8 SHA1: 3698e1286314b9f57ec52e32f4a25d9043e68988 MD5sum: cbc656fcdf3378f6cbd083ffb78a0b70 Description: debug symbols for python-wrapt Build-Ids: e57f5cb93c8dffd5ab373f0536ef2f38a00d9e46 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd+1_all.deb Size: 54088 SHA256: 06669febeb989af9e2e21c1aa85a116a6ac00f6d30195f80dc7df719e721d76a SHA1: c09e95689e9a9441814cf4bf1b0794b43df042ca MD5sum: 3931128273a94ae352ced686e833c28e Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd+1_all.deb Size: 86128 SHA256: b0535b8713321a8109bfa50359ddceef26cf07ed8be2bd0b9dc8dbd4efcb9163 SHA1: 36e97639cce2e204406881a9eee634ab49c5f5c2 MD5sum: ca378e6eb5dede715298a079092ed842 Description: module for writing Microsoft Excel spreadsheet files - Python 2.7 This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 2.7 module. Package: python-xlwt-doc Source: xlwt Version: 1.3.0-2~nd0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Breaks: python-xlwt (<< 1.3.0) Replaces: python-xlwt (<< 1.3.0) Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: doc Filename: pool/main/x/xlwt/python-xlwt-doc_1.3.0-2~nd0~nd+1_all.deb Size: 55348 SHA256: 871164bbb01bc038c00418d4019d620f5456f3b18cba7f76a6a02495b9a7b9c7 SHA1: f33ffc93a64d5f4ae706ca2209e47b458e3f711f MD5sum: 61620f6947b9403dc222311128708770 Description: module for writing Microsoft Excel spreadsheet files - doc This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the documentation. Package: python3-annexremote Source: annexremote Version: 1.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd+1_all.deb Size: 13888 SHA256: 870ff6f290e33764646ac271b2e541ce4a5eb389e332f6b623611e31dfb3a0f1 SHA1: 695f98f96d144133a5989255bdf9649b9ee5a708 MD5sum: db7ad7b3d4e77f1f453e60aef897efde Description: abstraction for git-annex special remote implementations Helper module to develop special remotes for git-annex. AnnexRemote handles all the protocol aspects for you, so you can focus on the remote itself. It implements the complete external special remote protocol and fulfils all specifications regarding whitespaces, and order of messages. This is ensured by an extensive test suite. Package: python3-argcomplete Source: python-argcomplete Version: 1.12.3-0.2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 143 Depends: neurodebian-popularity-contest, python3-importlib-metadata | python3 (<< 2.7) | python3 (>> 2.8), python3-importlib-metadata | python3 (<< 3.5) | python3 (>> 3.6), python3-importlib-metadata | python3 (<< 3.6) | python3 (>> 3.7), python3-importlib-metadata | python3 (<< 3.7) | python3 (>> 3.8), python3:any Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.12.3-0.2~nd+1_all.deb Size: 34648 SHA256: 08f8917c50ccb8f71df7509451dffdce4ffc6b69ad2411c846e3664d905105fa SHA1: 2c9c9bfcf206726932c5aa02c77ce736db38a56c MD5sum: 3348d320ab3dc25c9a14f33c014224af Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd+1_all.deb Size: 739716 SHA256: 5ae66b21163c3248a072dec45333909d03d140a74ce12c7a66cbcb2bded194be SHA1: d851e3fe6cce8bec0af1840841b4c9a1da505b37 MD5sum: 7a99101f9c6bb8e2885057e486f4b352 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-boto3 Source: python-boto3 Version: 1.2.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 721 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd+1_all.deb Size: 63014 SHA256: 2b7f52391e596a78d603d278f48a14f1ddfad83c0541a1f52b9e92b8b8fdd57b SHA1: 9061d3b81293a1d88d33665d93cc4fe71ed3a7ad MD5sum: 43184c4f35a4b326d7e941de518ebab9 Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-build Source: python-build Version: 0.9.0-1~bpo11+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python3-importlib-metadata | python3 (>> 3.8), python3-packaging, python3-pep517 (>= 0.9), python3-tomli | python3 (>> 3.11), python3:any, python3-toml, python3-wheel Suggests: python3-pip, python3-venv Homepage: https://github.com/pypa/build Priority: optional Section: python Filename: pool/main/p/python-build/python3-build_0.9.0-1~bpo11+1~nd+1_all.deb Size: 20992 SHA256: 9bdd64038f901603cb8e9dfa5accbca7b929a5931849b728347d40c96812d377 SHA1: a04d67819cd5902497e71529c0be0769a2995db0 MD5sum: fb2678c036f768470ea2465055d2d9e6 Description: Simple, correct PEP517 package builder (Python 3) python-build will invoke the PEP 517 hooks to build a distribution package. It is a simple build tool and does not perform any dependency management. . This package installs the library for Python 3. Package: python3-bz2file Source: python-bz2file Version: 0.98-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd+1_all.deb Size: 8004 SHA256: 726511cc926732ccf5bb2fb60fe1e132e8d3e49181c6e07d2b0481010ab1887c SHA1: 72dca9188f04d0505ec4735ef9149d9a255c54b7 MD5sum: 3dcfe471c2e00f9ef2e0a5f9417971ce Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd+1_all.deb Size: 80312 SHA256: 6e53a8df60d6b7171da48d1edcb88cb12aae2c44cb7a1a906ddf6e5dc161cbb6 SHA1: d0d50ae1eedd9e2b2f1a6976d8267ba8043ee246 MD5sum: 28d1c6bc7857beac45dfe522f9137ea8 Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python3, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd+1_all.deb Size: 81822 SHA256: 397553ba2c393746e303667d70871e29928088f030709f71ddc1e9cf050b8ea8 SHA1: fa10008219f71e5bc589696cb6cde597b1111080 MD5sum: 2bedbc4c2743ffb36b7e764446621051 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-click Source: python-click Version: 6.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd+1_all.deb Size: 56340 SHA256: c39469efa13b92298bdb57a4f2adff6b416391c8ee938ff5c50b5515f46b0fa0 SHA1: 07c09c437931346acf7213951957a30ee9ce76af MD5sum: 7e8e985cc26c962f9b613940d1b8e607 Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd+1_all.deb Size: 8722 SHA256: 0a491f030c8c742f313aaea5f9b006b37c1870c6e4005220ebf2afe9be397d1e SHA1: c244a752ad56c9b2156ffd09d8eb9724291b6161 MD5sum: 9ed808ffc27d17ac4c668f60131205d9 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-datalad Source: datalad Version: 1.1.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4351 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, 7zip (>= 23.01+dfsg-4~) | p7zip-full, python3 (>= 3.7), python3-annexremote, python3-boto3, python3-distro, python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.10) | python3-importlib-metadata (>= 3.6~), python3 (>= 3.9) | python3-importlib-resources (>= 3.0~), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-msgpack, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-typing-extensions (>= 3.10.0.2~), python3-tqdm (>= 4.32.0), python3-chardet, python3-packaging, python3:any Recommends: python3-html5lib, python3-httpretty, python3-lzma, python3-pytest (>= 7.0), python3-pyperclip, python3-requests-ftp, python3-vcr Suggests: python3-duecredit, datalad-container, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_1.1.4-1~nd+1_all.deb Size: 890776 SHA256: 16d6b753107bc8dcdeada44e2e70bfc717c29ba1ee5b8ac6a5936cdcf057f125 SHA1: 2b5dd35248a4f8fdb74355dfb327d49196dcab71 MD5sum: 14ecfa9b89751afc42037b56631f6994 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, python3-dicom, python3-nibabel, python3-numpy, python3-pydicom, python3:any, libjs-sphinxdoc (>= 4.3) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.9-1~nd+1_all.deb Size: 75948 SHA256: f161ee4459c05c3392b7c01f3bb387e117be33280c169618df7c6aa06532726d SHA1: d21af3e01c838c645513e5d82de10276024468a1 MD5sum: b1e3bc7ac63f40fe54008cd5cb22f86b Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd+1_all.deb Size: 8672 SHA256: 271bfecdde32560bf040fd3cf163ec6986244c6f9d77190a80b6e61f08151e05 SHA1: c44f17e330a9a3ec6842bff66dd181bf91651942 MD5sum: ebc2fde72e26385c8d5db356de66f75a Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd+1_all.deb Size: 4892 SHA256: 59a0c22474adfe48e05343a8e112e1cc5b659da1654609fd858b9b5021693742 SHA1: a6b9fa4e8b09511925c62d55ec0ea4b02e610ee2 MD5sum: aa22ee93bc442cb2c74052219db473a1 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd+1_all.deb Size: 33648 SHA256: 3a25363e137b66273ee077b7267ede2f73423414890ba3c7f037d23e02103703 SHA1: 6fa7437b851f0e2dd43e4265cf3b1878cb2ed859 MD5sum: afc3d8997bdb3b41f2c55ebc0f030808 Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-distro Source: python-distro Version: 1.3.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, lsb-release, python3:any Homepage: https://github.com/nir0s/distro Priority: optional Section: python Filename: pool/main/p/python-distro/python3-distro_1.3.0-2~nd+1_all.deb Size: 14556 SHA256: 5e500aa9db5e5d571feec2d297ba459cc2c68e0f3559c3583888dc5c65f83e86 SHA1: 10b33b047306a6c6d722ab5b189788d3d405b71f MD5sum: ee9a1347b8864b6c5c81864b680a5e26 Description: Linux OS platform information API distro (for: Linux Distribution) provides information about the Linux distribution it runs on, such as a reliable machine-readable ID, or version information. . It is a renewed alternative implementation for Python's original platform.linux_distribution function, but it also provides much more functionality which isn't necessarily Python bound like a command-line interface. . This is the Python 3 version of the library. Package: python3-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd+1_all.deb Size: 27174 SHA256: 2bba5abed5c3488d76d40d11ffe6092063cbd6206eda1a27e44569976c49295d SHA1: 7ea0cc04691204a219624ca14828df341c783cf2 MD5sum: 3fa6848799867d77d3318a0e3a14bcfe Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd+1_all.deb Size: 10966 SHA256: 6ef0c8fffb1650b53b6293e7a53ced450146d254a6e759ca6045c1c60b3c20ac SHA1: c47ba7ad5fdb1c05e405b09e4080c845cc3d71c5 MD5sum: c2afbb903ec7e0ac611037936de6edf5 Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-duecredit Source: duecredit Version: 0.9.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 284 Depends: neurodebian-popularity-contest, python3-citeproc, python3-importlib-metadata | python3 (>> 3.8), python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.9.1-1~nd+1_all.deb Size: 67240 SHA256: 3431856b3a9e7f40d2573b1c0b7e3d88b1b78afa8e9b6aacdd5b11a72895a8b9 SHA1: 3e30f2872f38985daa0bafc9f484e8ce857447c0 MD5sum: eb37d142e1d47bf7e89932b2bbc8020c Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-etelemetry Source: python-etelemetry Version: 0.2.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-requests, python3:any Homepage: https://github.com/sensein/etelemetry-client/ Priority: optional Section: python Filename: pool/main/p/python-etelemetry/python3-etelemetry_0.2.0-2~nd+1_all.deb Size: 6180 SHA256: 7a49e657f14add98e732225d3aab47a68a7d59814b8b3a224f7729cd7a30b306 SHA1: dc739b658dd238acbe000ebc9ba73e673ce14f25 MD5sum: 53b419789aec923a2947e0199ef95dab Description: lightweight Python3 client to communicate with the etelemetry server This Python3 package provides a lightweight Python3 client interface to communicate with the etelemetry server. It can be used for nipy or nipype. Package: python3-exif Source: python-exif Version: 2.1.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd+1_all.deb Size: 31000 SHA256: d46d66a8169f91106898b3dcf9476845864602d62341330008c8b6e05fa9cb21 SHA1: 7cfccd2bf28f7e1179dbd0ce7b5c30f9b9de1983 MD5sum: 9ce63f5cc0359bcd42e7750cc5a130e9 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.14.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd+1_all.deb Size: 15424 SHA256: 6689d4e9dfecf8e909c35e87403b9001a259056c7faf055e79880540748cec0f SHA1: 1e8f5fc26cae95274e37796a620aadf450425ccf MD5sum: 304af04a0e746b90a155e705e9e9975f Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd+1_all.deb Size: 8284 SHA256: 0861c3f7c01568d34a0bea1040bed401ba4445be3b2d3dc14b3f6b140b3d2266 SHA1: daa37fe70bf3eadefadef6ad66a97cce7b49b87b MD5sum: 139ad9b03b7bf042bb4354a94e934a43 Description: platform independent file locking module (Python 3) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 3 version. Package: python3-fscacher Source: fscacher Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3-joblib, python3-platformdirs, python3:any Homepage: https://github.com/con/fscacher Priority: optional Section: python Filename: pool/main/f/fscacher/python3-fscacher_0.4.1-1~nd+1_all.deb Size: 13608 SHA256: fcbac36e1695206c0f765cb6423a6aeb2f914f7ded1f7ec3665f57e899d05279 SHA1: 62fd06c876e28894d2b47ab7a7e18abdfd466cab MD5sum: 9a642b5062a02d7db0bb14ed75b63530 Description: caching results of operations on heavy file trees fscacher is a Python module which provides a cache and decorator for memoizing functions whose outputs depend upon the contents of a file argument. . If you have a function 'foo()' that takes a file path as its first argument, and if the behavior of 'foo()' is pure in the *contents* of the path and the values of its other arguments, 'fscacher' can help cache that function. It caches the outputs of 'foo()' will be cached for each set of input arguments and for a "fingerprint" (timestamps and size) of each 'path'. If 'foo()' is called twice with the same set of arguments, the result from the first call will be reused for the second, unless the file pointed to by 'path' changes, in which case the function will be run again. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd+1_all.deb Size: 84292 SHA256: e0dbd3e9e0b9b563348424d6a16d9e25d4d3eaf80a3861540734d720b447cf43 SHA1: a9c14a66e3487d9f123b725f0970fd83914f948d MD5sum: 84cd09221574e8526c38308fbdebb223 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd+1_all.deb Size: 13072 SHA256: 15fa59a1800b32094bf5f09458e09a7e14966957b6680c167e2e6fd75b2927e2 SHA1: d984c9873b79c7bc61b8ee3082591fdcc6e0283b MD5sum: 304a096119e3599f3c528b649e5e8caf Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd+1_all.deb Size: 346170 SHA256: bbc88a3bfe1da8b189ae590ddd8c9c5299b48a80a620427eb3098d39e48df52f SHA1: 6012b63a4e8c5ffba035de00a29c11492bade492 MD5sum: b618e2950a1d2b3acde7e2283e507420 Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 3.0.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd+1_all.deb Size: 307904 SHA256: c064720fd1603fd60f98e81ac0875325d81aa1d8d3c399f3790cb17b8737ea45 SHA1: 372f88e1f3a5e61badcde876d55893ecc3833078 MD5sum: 8868a4c815a71dd6fb25ce35e19a8703 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-git-annex-adapter Source: git-annex-adapter Version: 0.0.0~pre1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 33 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-adapter Priority: optional Section: python Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd+1_all.deb Size: 6808 SHA256: fb40ee63f1298ed3c3e16a97a0f4ca8320ddb834c5c3b639d80c709da209c0e1 SHA1: 1b60401efcd1d13bd667ca7ee9fc8ae9ac35205d MD5sum: 2f6715c5a2af4ad68708927417208bf9 Description: call git-annex commands from within Python This is a minimalistic interface to git-annex. Commands are executed using subprocess and use their batch versions whenever possible. Package: python3-gitdb Source: python-gitdb Version: 2.0.6-1~nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd+1_all.deb Size: 47076 SHA256: 244fcd39cf9511a4250b0598df0c4ac1d26d95ed3ca38f943c78f63a5c67fd94 SHA1: 745dc50394338b3cad1eb99689d385bec64d920e MD5sum: b1e264451ee6088d4c1c36d69c466cd6 Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 3.x module. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: python3-gitdb (= 0.6.4-3~nd+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python3-gitdb-dbgsym_0.6.4-3~nd+1_i386.deb Size: 23254 SHA256: 163a4767161ee8ccc86e81c4381f847495f176c3113a30a8f2cc52849b36826a SHA1: 0f2509496948863147e60e1c1c39dd243d1df8f5 MD5sum: 30b0a6d7e3d8863fa4d302ba3949720c Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: bb2ae7a7eb776fcf4fdd5e1d0d5bfe4cde29517d Package: python3-github Source: pygithub Version: 1.43.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-deprecated, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd+1_all.deb Size: 64648 SHA256: 1355ea2867b209ed5c66dfd0b806eccde808762d2bbce4450773f76b12c6ecec SHA1: 74c97ffba19bc15d9097c4e2137d8a21e5d1af0e MD5sum: 1ea21d38dd4b43510edf4b17d56ea7af Description: Access the full Github API v3 from Python3 This is a Python library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-hdmf Source: hdmf Version: 1.5.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 506 Depends: neurodebian-popularity-contest, python3-h5py (>= 2.9~), python3-numpy, python3-pandas, python3-ruamel.yaml, python3-scipy, python3:any, python3-certifi, python3-chardet, python3-idna, python3-dateutil, python3-requests, python3-six, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.5.4-1~nd+1_all.deb Size: 83008 SHA256: 5bead33258623f9b0c5704b666b80ed46e8ebe375a84c487f271ad8140e4018c SHA1: 0f85eb128f25852e78b607017a19340758e7d6f6 MD5sum: 825f0228f44d3027faa6c161d318abf5 Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-httpretty Source: python-httpretty Version: 0.9.5-6~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6~nd+1_all.deb Size: 20220 SHA256: b27b1e1051e4b3aed5089aa52dce6bb84e0dd3cbd7e3f2cfa9c79d8657bb5663 SHA1: 35715bf62750c9f65ea589e6b8fe90284c98c65f MD5sum: 7febeaf9584b46e4ef122d85fd1a9e55 Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd+1_all.deb Size: 12670 SHA256: eb53b7253b33997c80ef27e33d37519cf929e44eb64153d987a6b19d2833e7fd SHA1: 957dac3e198cfec8d7edb319555011c665550a83 MD5sum: a6f39e5b551bf6671a35dc023ffff692 Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd+1_all.deb Size: 161800 SHA256: 1340b81a1ebd5840c519a4b76f89e44b4228a551e3435aa0d36e80cefe0d1491 SHA1: eece57c2a0aaa29a0e0f96f6463c3cc8d3c5664e MD5sum: 9c09642552d05a70dfdb6a3cfe54093a Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-importlib-metadata Source: python-importlib-metadata Version: 4.6.4-1~nd3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 74 Depends: neurodebian-popularity-contest, python3-typing-extensions | python3 (>> 3.8), python3-zipp (>= 0.5), python3:any Homepage: https://github.com/python/importlib_metadata Priority: optional Section: python Filename: pool/main/p/python-importlib-metadata/python3-importlib-metadata_4.6.4-1~nd3~nd+1_all.deb Size: 22844 SHA256: 7545d568d29bed123c985cac2d8e516f2f2633d5d32c53bc91dd36904000fc5f SHA1: 783155732f6f17913afeb251426517bb262c3c36 MD5sum: 7ca83403a2b5d771b0630c79729000ff Description: library to access the metadata for a Python package - Python 3.x Provides an API for accessing an installed package’s metadata, such as its entry points or its top-level name. This functionality intends to replace most uses of pkg_resources entry point API and metadata API. . This package contains Python 3.x module. Package: python3-importlib-resources Source: importlib-resources Version: 5.1.0-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, python3-zipp, python3:any Homepage: https://github.com/python/importlib_resources Priority: optional Section: python Filename: pool/main/i/importlib-resources/python3-importlib-resources_5.1.0-1.1~nd+1_all.deb Size: 18428 SHA256: 12ca180ca31e9b3eb2d73fafd81294e637bafb305a8376e65ce21ddd3d231ebe SHA1: defa239aeb05e042cb87d811a6c32c14f6f0d847 MD5sum: 3b0d33085478991f53297419b4d29ec8 Description: Read resources from Python packages importlib_resources is a backport of Python standard library importlib.resources module for older Pythons. Users of Python 3.9 and beyond should use the standard library module, since for these versions, importlib_resources just delegates to that module. . The key goal of this module is to replace parts of pkg_resources with a solution in Python's stdlib that relies on well-defined APIs. This makes reading resources included in packages easier, with more stable and consistent semantics. . This library provides two very simple decorators that document the publicness of the names in your module. They keep your module's __all__ in sync so you don't have to. Package: python3-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1256 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd+1_i386.deb Size: 310164 SHA256: b595acdaaef656409cbde09e7eb768201be5f2555645881f200951ed6e7a4015 SHA1: 331ee0937b9a98ff5cfbf38d516204c2a5594408 MD5sum: 6e433bdbaa45e77edd91ace445ca0142 Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1103 Depends: python3-indexed-gzip (= 0.8.6-1~nd+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd+1_i386.deb Size: 1016636 SHA256: 362b4cddb7563c6d174712f7f300681351bb9e96dafc7c5f7f9b513b0dc16785 SHA1: 22778b548f7b1934945bab4ea77a1960d248e812 MD5sum: 33d3165cd9db4a4cae84ede25d172e6c Description: debug symbols for python3-indexed-gzip Build-Ids: 3298777f19ce2f50880d262e6fbc9ca9af8f1981 bab87f731616ca10e375fd645335a7ebc30f1e73 c8f0e5e3679191dc243e2303ea89c434cfd3a2db Package: python3-installer Source: python-installer Version: 0.4.0+dfsg1-2~bpo11+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, python3-importlib-resources | python3 (>> 3.7), python3:any Suggests: python-installer-doc Homepage: https://github.com/pradyunsg/installer/ Priority: optional Section: python Filename: pool/main/p/python-installer/python3-installer_0.4.0+dfsg1-2~bpo11+1~nd+1_all.deb Size: 16136 SHA256: c22068007ff61c61819cb3f4d5693ef1fd264d708fa0b4fd199463dd3bb3c20d SHA1: 9e32bcf4613ba6a574b101f9543c0e807e8b1d11 MD5sum: a5cf8c9bd537f42f668cd034a8d28a11 Description: Python library for unpacking and installing wheels "installer" is a low-level library for installing a Python package from a wheel distribution; the wheel is the basic unit of Python module distribution to end users. It provides basic functionality and abstractions for handling wheels and installing packages from wheels, including: . * Logic for "unpacking" a wheel (i.e. installation). * Abstractions for various parts of the unpacking process. * Extensible simple implementations of the abstractions. * Platform-independent Python script wrapper generation. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd+1_all.deb Size: 7562 SHA256: 9f25374a1984cc55029085f0842ebcc556cb604d77ed5a3d9f2413d74d8d18db SHA1: 0b803e0c91b3084849b81ef4edebf8c82ba5a9b8 MD5sum: 9addeaab0579f0e325d2cc0be513923f Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd+1_all.deb Size: 189340 SHA256: 0bb03967a8be2e736320bf9358410dc710afc12ba4e141fde2ffbac789ceca9c SHA1: 7d522b8ad15552f1b8776d6dd17570a5589c1ba0 MD5sum: e81d700738a2b469e55eeecdac734ef3 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-jsmin Source: python-jsmin Version: 2.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd+1_all.deb Size: 21580 SHA256: a9c914e0e7d279672a487222e15f91575cc406f6276ed013cbd894c46b9bc435 SHA1: 522f5c43a921c02244542fca2fe4bd2ea43e7c06 MD5sum: 7785af8648130c52963347d743f25cc4 Description: JavaScript minifier written in Python - Python 3.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 3.x module. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd+1_all.deb Size: 19012 SHA256: eaee443f2fb67e8910d0bc1e24df89f5ba3a781f1d964aed36ead7e56d580c7e SHA1: 0fd94bb5c885e59c4a31522486fc97399c132ab9 MD5sum: 8a22bf23abd4f0b4c2e52c1bf1a28d3d Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any Suggests: python-jsonschema-doc Homepage: https://github.com/Julian/jsonschema Priority: optional Section: python Filename: pool/main/p/python-jsonschema/python3-jsonschema_3.0.2-4~nd1~nd+1_all.deb Size: 45148 SHA256: 1c813aad1e9b212597ddd6a53f3e8cbcbd792182f472f8d2327945392028133e SHA1: 88caa6b347e083d5816183c3a3d55d2b32bec2a2 MD5sum: a0db131a0c0b6d7932c401143ae75fad Description: An(other) implementation of JSON Schema (Draft 3 and 4) - Python 3.x JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package contains the Python 3.x module. Package: python3-lda Source: lda Version: 1.0.2-9~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1242 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.4) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd+1_i386.deb Size: 235700 SHA256: 9ab1dacb978d245402908d0042d66a2b2b0838f359036d5e94a4a86e11fd1f3d SHA1: 02936e5b9e2d2a86c14f2836f4d5fb2a29160323 MD5sum: 771106b8e5d0b51a24c534ef329d9096 Description: Topic modeling with latent Dirichlet allocation lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 3.x module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20170629.5692bdf-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python3-tz, python3:any Suggests: python-libxmp-doc Homepage: https://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20170629.5692bdf-1~nd+1_all.deb Size: 23592 SHA256: 91d62159de239973196870ffaccc76065e2cfc853fb1a2d8abe6c92f0c56a549 SHA1: 76fb71eee41d9a072aeab7b21775aef97925bae5 MD5sum: 488b518d9f93f0052af431b24a396666 Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20170629.5692bdf-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 5.2) Recommends: python3-libxmp Homepage: https://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python3-libxmp-doc_2.0.1+git20170629.5692bdf-1~nd+1_all.deb Size: 44044 SHA256: aec35eb4da4359fec813391177a801ff24d0150109755d366cca5c524bf45dc6 SHA1: c66ea5dc7ee3b17605a21cd8d03435683bb169f7 MD5sum: f7e9c50f6629d6fd3370c4ea6b0172d5 Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python3-mdp Source: mdp Version: 3.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd+1_all.deb Size: 275288 SHA256: daea6afa80bd07e998e6619f4723b5e1e2481829971d83057bb823f82688cdad SHA1: 83c40cc3e9af5c666412136996bd5d5467086036 MD5sum: b7a08f083ad842fe1764419227f14c1d Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-mesonpy Source: meson-python Version: 0.17.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 948 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 7.4), meson (>= 1.2.3), ninja-build, python3 (>= 3.11), python3-packaging, python3-pyproject-metadata (>= 0.7.1), python3-tomli | python3-supported-min (>= 3.11), python3:any Recommends: patchelf Homepage: https://github.com/mesonbuild/meson-python Priority: optional Section: python Filename: pool/main/m/meson-python/python3-mesonpy_0.17.1-1~nd+1_all.deb Size: 108368 SHA256: fd81ad0996dd3003244eb25870dc2ef4f1a0a544dd329940aabb31991bb64094 SHA1: 7ba61dcace2c0a636726734bf3da5bf6f8f9b6ef MD5sum: b0012487ad858241d883d35087d66f30 Description: Meson PEP 517 Python build backend This package enables Python package authors to use Meson as the build backend for their packages. . Meson is a build system designed to increase programmer productivity. It does this by providing a fast, simple and easy to use interface for modern software development tools and practices. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd+1_all.deb Size: 5604 SHA256: bb596301d4eff8ea6c10381f50d47acfdbf5855ceb29a02e3f944ae5eee02f78 SHA1: 5e3bc8011466b2df753cc9442f404180c01506d5 MD5sum: bc5ccadf2a5d347c6df8f2708d08eae2 Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-mpi4py Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1512 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), python3 (>= 3.5~) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_2.0.0-1~nd+1_i386.deb Size: 322646 SHA256: 44bf69ded4051c4564ce08f51e4c4dd8e7c50098e0c163bda56e3a695f1550a4 SHA1: 023b19d6767664f43b9c306d96f4b0a91a3add20 MD5sum: acf9c8fa555b1ac34f43e02573c64d8b Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4141 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd+1_i386.deb Size: 1068420 SHA256: c59a954a74eaa8ec06432d85519d504f156d9b0f26e227467d1adddb028a0d5a SHA1: 0a634d9ec42c3e479e9477c2db0eb0dfc1f7c11d MD5sum: 316f42098908615da49ee290199f992f Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-msgpack Source: msgpack-python Version: 0.4.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.8-1~nd+1_i386.deb Size: 66460 SHA256: 846fec3c9487fed3a4941398fed168f03d1d1cb5a16a51b2f356564101cd5b8a SHA1: 7642b830b90b5f72db5f42fd1a8f7aa067418730 MD5sum: 663a59416b1356c0f665bca8b9a7051a Description: Python 3 implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python 3 extension module implementing the MessagePack format. Package: python3-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 269 Depends: python3-msgpack (= 0.4.8-1~nd+1) Priority: optional Section: debug Filename: pool/main/m/msgpack-python/python3-msgpack-dbgsym_0.4.8-1~nd+1_i386.deb Size: 232732 SHA256: f5c62fed68f88be06d70b526203b4787121af56da2feb52c84c962460f7615ae SHA1: cb7b4627356910da059423a08cc7a2a8325996d9 MD5sum: fc1f0a3a1f6c6d9bdac86758e99ef003 Description: debug symbols for python3-msgpack Build-Ids: c638fccc5dad85704e470ca279d779dca28594ed d987a61361931f1333db2d21c5a505ac8d600861 Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd+1_all.deb Size: 131928 SHA256: 28438cb84f275af9a30fa504ff97d4d71c2fb9fbff81bfe215c8ce74ad8c7737 SHA1: 5201376f062f2cc7161cba246eb80266c36c05e7 MD5sum: 85532c84f4ded565c2a233f8f08bdfb1 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-neo Source: neo Version: 0.7.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python3-nose Homepage: http://neuralensemble.org/trac/neo Priority: optional Section: python Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd+1_all.deb Size: 1309300 SHA256: 8ccbf0b7dcc1708042db6eed9435a17959c40486e7bd199ec55a302fe4b1c50d SHA1: be2061fb2850978212c76a0b4e8e4be75ae5d2fc MD5sum: 8dcb5857f036a67da2405b61c451ba8c Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python3-nibabel Source: nibabel Version: 3.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65983 Depends: neurodebian-popularity-contest, python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six Recommends: python3-pydicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Breaks: python-nibabel Replaces: python-nibabel Homepage: https://nipy.org/nibabel/ Priority: optional Section: python Filename: pool/main/n/nibabel/python3-nibabel_3.2.1-2~nd+1_all.deb Size: 2707168 SHA256: 5d84fe1a8199eaac32c4ad38404bdc483d5bd78cbf9bd19f00481f565ac3d900 SHA1: 414758ae7611398805e420585cfb32ef85e67194 MD5sum: 896b73a8a49a1655fbc8e6de5906e20e Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2190 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.5~dfsg.1-1~nd+1_all.deb Size: 686336 SHA256: 359ecabd6ca6401141f095cac886ce63b0832feb791aecaba8d0a7764f95bd9d SHA1: 590eb8e987ec3e6d57c0fac7f96404d619663340 MD5sum: 57bfa80b7b9dd2829cacc28d4aa4782f Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nipy Source: nipy Version: 0.4.3~rc1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3556 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.3~rc1-1~nd+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.3~rc1-1~nd+1_all.deb Size: 785232 SHA256: e06492182d4dc126083e16c8aea26270346a4e55683499f7e54e39315d8a279f SHA1: 186d33e795365e1f3a27af205b7099cc1cc91308 MD5sum: d656540af5204c195399b2b80ea2db66 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Package: python3-nipy-lib Source: nipy Version: 0.4.3~rc1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2693 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.10), python3 (>= 3.9~) Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.3~rc1-1~nd+1_i386.deb Size: 548892 SHA256: 1f94216bf537a32e21cd51a45d45dd65765543d92067e60bbd21e34d0ea9e89f SHA1: 1c0f1685e47b0648ebc9828695a40786481dd5c7 MD5sum: cac3a7999966c683c347318a78fcd082 Description: Analysis of structural and functional neuroimaging data (compiled modules) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Package: python3-nipy-lib-dbg Source: nipy Version: 0.4.3~rc1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11862 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-nipy-lib (= 0.4.3~rc1-1~nd+1) Homepage: https://nipy.org/nipy/ Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.3~rc1-1~nd+1_i386.deb Size: 4188728 SHA256: 2eb4a491d124a429c87b0cf1221b0aae8d384265a3c173443b7e72b5f4e598d3 SHA1: ec38daf819e5aea86ac5e4c954c68f0be9b92e26 MD5sum: 15b3e16ad014836be30fa38ac198ee36 Description: Analysis of structural and functional neuroimaging data (debug symbols) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Build-Ids: 02273f357fea85b88606f1fd88ee325eb28cec60 2f200530537b12e8efba8f3227b6acc5d8427ab5 3d7a79620c37bb595f3e1d1238e450a5c14623dd 44b73fba5de8d93ae8681ac17de0541e983259ab 52ad21b6d7e3bdff57452557f13cf15143253df2 65dfb87cb01a43e3479355fbcf2b36c42a1d9a90 7a0e563002c95649871ef70ce50573097e8358a6 80a163ef9587b752057c2e1141a0eb4560216712 9cde9e120dfc9c6a156ad714778f87e4ab3f1c51 a395aae88b0468e70c210e463de18e0aacf4dd37 a4b8cf5ca9ae14f63451a18782ce34412a3b03f2 c7b23bdf0081651bc55b7a23e1599d7ab77be34c ea9d769e7fa254fe42a9be0c67664dc1d60d29b6 f3be5191fe1237e7a27acb84daafe9a6b7e84719 Package: python3-nipype Source: nipype Version: 1.9.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10891 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-looseversion, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-puremagic, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-dipy, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-pydotplus, python3-pydot, python3-cfflib Suggests: afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: https://nipype.readthedocs.io/en/latest/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.9.0-1~nd+1_all.deb Size: 1862088 SHA256: 34f893a4e11fc088d26c18d5f1efe4207a613ff7d1342ce5dbb404c10e82ab7c SHA1: fd8f97ed9b433930148e269fb99bce09343aa461 MD5sum: 11e658f062817b5f95bce47e8481dfbe Description: Neuroimaging data analysis pipelines in Python3 Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python3-nitime Source: nitime Version: 0.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9358 Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.9-1~nd+1_all.deb Size: 2542416 SHA256: 7af75ea74aae96778c123a5cfbccfff19f93cd1f01be1f7d915b5eb1ef0013ea SHA1: 8805c15ea888933852cb7c56b4d19e89ef65f32e MD5sum: d71693ee67231a39d4b6af85b7f55388 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd+1_all.deb Size: 5188 SHA256: 3bcb86b62cdd25a1ec6517f1ede04a23e9e3c6377da80877180ba8f6678f743b SHA1: 75aa68d8e79156378313cccd6c08dcf0cf211a03 MD5sum: 76f88c19868c3489c6271b1a7a4be9bb Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 658 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd+1_i386.deb Size: 113790 SHA256: 445da6a726fc9d6c61f88dbd4bb0fae7d361b4839ddb902cd3d0f1b75b80528d SHA1: e41063d1be4c484e31bfe08a229dbe5b4a01ae97 MD5sum: 1509c50a204497a73955e8b0e42e543a Description: Fast numerical array expression evaluator for Python 3 and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains numexpr for Python 3. Package: python3-numexpr-dbg Source: numexpr Version: 2.6.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 346 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.6.1-2~nd+1), python3-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.6.1-2~nd+1_i386.deb Size: 98704 SHA256: 6ea79cc346ce68e7cc555fcf7b78cd979fc250af459dcd8989b764cec3fe7f34 SHA1: 3919f9d91250a2e93e7021a923a326f8026ee95b MD5sum: 96e6c6fe518d2bd051c76ebcaaa96292 Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext) Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: python3-numexpr-dbg (= 2.6.1-2~nd+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg-dbgsym_2.6.1-2~nd+1_i386.deb Size: 225532 SHA256: 779c027441f7f40e122531bc1eb06d56cca2e2366935324079794e0b2ea46ecd SHA1: d15816ede03ae58362239b9b07aa4e360ab08306 MD5sum: fc98a9e2ebe955ed7b8b409bddb6cf3f Description: Debug symbols for python3-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: f5da05c6e57105ee5709e041314944fc1404a1ff Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 501 Depends: python3-numexpr (= 2.6.2-1~nd+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd+1_i386.deb Size: 374130 SHA256: 74b374a85b06cf165df41fa33f9058e1ad1acfb015669825ea0a3f95e9508b22 SHA1: 026c0a5812530d043409aa1b4018231b872cf6b1 MD5sum: 138a696ee10893bba732dbb3db695a96 Description: Debug symbols for python3-numexpr Build-Ids: 04757d90bee24e09600efdf93616260dbbe5f66a ec9d30e15e4358d5efd945ed7396e3a1bdaa3bd7 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd+1_all.deb Size: 219788 SHA256: 38d0080a3ab42366926a26a5e63932dc02b629c8de49df80d230a3f71e1ac10d SHA1: 878986f7f513318af6636bcf0db8298c50eacfc9 MD5sum: 8de7a3fef8bb27d14633f5790202db74 Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-packaging Source: python-packaging Version: 16.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd+1_all.deb Size: 17286 SHA256: a147fcff55f750bc7b8b992bf795e9cf38490231fa5276c97036dd340b62ad8c SHA1: 7c08b0dc58f1c9f02768d848848efbcafc80a4d8 MD5sum: 6568daac84251afcef7f916f40d4e2d7 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.23.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12450 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.23.3-1~nd+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.23.3-1~nd+1_all.deb Size: 1743124 SHA256: f43a1ac90ac0b0222fd336116cd67829b4cb15cbd56538a94783c40894d675cf SHA1: 7f87f336873004b22a2a8c4c561c434b06999544 MD5sum: 11aac43b4b70196fe73d0263749edfe2 Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.23.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33034 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.6~), python3:any (>= 3.2~) Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.23.3-1~nd+1_i386.deb Size: 4170464 SHA256: 90c9bac3a1fb73896de2123a621e97b8b55be0d1f693349312693d343e21c218 SHA1: 2a27363579ffe17dcddb4235bd989aab3383a928 MD5sum: 79c58e28ea45e5a5c60dbed316f92344 Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. 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This package contains the Python 3 version. Package: python3-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 111978 SHA256: 36a64437ff69d22a329972aefeb1317472c003cf880e151757932245370e5972 SHA1: bfb67674ced9d86162dcb2899fbcc613be113a2f MD5sum: ce4fa06bc2f539f762ef488dfb9fb14e Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-platformdirs Source: platformdirs Version: 2.5.1-1~nd3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/platformdirs/platformdirs Priority: optional Section: python Filename: pool/main/p/platformdirs/python3-platformdirs_2.5.1-1~nd3~nd+1_all.deb Size: 16016 SHA256: a4993dad6a7fbb78270dd8713564e067ef481309b15baa03a7e8f060f7665d43 SHA1: 24a612c237389fb70fa5149c816f63c08cc7c883 MD5sum: f4ddafe26ec121099a775617f40d46cc Description: determining appropriate platform-specific directories (Python 3) Depending on your system (Linux, Mac OS X, or Windows), you have to use different directories for storing user data. platformdirs will help you choose an appropriate: . * user data directory (user_data_dir function) * user config directory (user_config_dir function) * user cache directory (user_cache_dir function) * site data directory (site_data_dir function) * site config directory (site_config_dir function) * user log directory (user_log_dir function) . On Linux systems, these function return directories based on the XDG Base Directory Specification. . This is the Python 3 version of the package. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd+1_all.deb Size: 100790 SHA256: f3b522b141e4aff7edfe3c3c3c53bf8e37e1d650f08d33602a9dfd88ab1095bf SHA1: 02b4a53726d5b10b81a700aba33294b8a0034fd2 MD5sum: 4e01c6aed2486f5ea6bb6fa31e6d13de Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-psutil Source: python-psutil Version: 2.1.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (>= 3.4~), python3 (<< 3.5) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd+1_i386.deb Size: 60286 SHA256: eff31e5a7b61c9f6e6ec734b2073eef93c2d1a02444956698c7c50a8f18d36ff SHA1: 7a4ae5aaf3855e262a737f79467302ddd71caa29 MD5sum: cad692e3768014d8be6fb9e8d13f8295 Description: module providing convenience functions for managing processes (Python3) psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. . This package contains the Python 3 version of psutil. Package: python3-py Source: python-py Version: 1.4.31-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.31-2~nd+1_all.deb Size: 82268 SHA256: 65bc42d600c55da39ffd1381f8cdc4a732996142758881f068c6fe9a14221a13 SHA1: 38d97058b9accd5b06929df289ccc3ac6450dc9a MD5sum: d30561ac4dc95895b7d705e28fb85820 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pydicom Source: pydicom Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd+1_all.deb Size: 4396924 SHA256: 718708a31358c648e28b5c64bdd826849dfbfd8726dd4edb43f71ec62b584b28 SHA1: 3ca24c323e04f67d6481a509150f71887c141edb MD5sum: f807cc33e0a95ff060c1d77b3cbe924d Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd+1_all.deb Size: 21464 SHA256: 3efcabb45545b559653b3d99a6c77ac50744a27c2f29bbfa1339c47cb25a16bd SHA1: 340330067885dbc63c3bdf02fbd748f722c59c00 MD5sum: 2041c7ab9a99082c17779c3d917abe0b Description: Python interface to Graphviz's dot (Python 3) pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. . This package contains pydot for Python 3. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd+1_all.deb Size: 20392 SHA256: 24148267cc75546f7a1068af6445c4d5304d7657e4e15599a7e652fcc5368183 SHA1: 4508e855ef33f04bda63e8aa166b7be5a8deb119 MD5sum: f01396ec136e5aaa6366bc5283d7d02e Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pyfakefs Source: python-pyfakefs Version: 4.3.3-1+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd+1_all.deb Size: 130304 SHA256: b88e3f25ff962ba47f794496bb13d2e2062bad4a47869aa43c26a01ca410c5fa SHA1: ce8f9fb0e2b4decf99b757a4427d49417972289e MD5sum: 91301527bc981b358452e173b609d350 Description: fake fs that mocks the Python file system modules - Python 3 pyfakefs implements a fake file system that mocks the Python file system modules. Using pyfakefs, your tests operate on a fake file system in memory without touching the real disk. The software under test requires no modification to work with pyfakefs. . This package contains the Python 3.x module. Package: python3-pyglet Source: pyglet Version: 1.4.10-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5249 Depends: neurodebian-popularity-contest, libavcodec58, libavformat58, libavutil56, libfreetype6, libgdk-pixbuf2.0-0, libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libswresample3, libswscale5, libx11-6, libxext6, libxi6, libxinerama1, libxxf86vm1, python3-future, python3-png, python3:any Recommends: libasound2 | libopenal1, libpulse0 Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python3-pyglet_1.4.10-1~nd+1_all.deb Size: 1091084 SHA256: 79c53ffbac11a7e1c52330f7c04596a419d74a6315f8c091b9ecfadedfd18183 SHA1: a5a769e82fe15a186864eb95b26fcfaf1d1f250c MD5sum: e28d42a6e405cd27ba5c4b0ed6f03a65 Description: cross-platform windowing and multimedia library (Python 3) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. . This is the Python 3 version. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python3-pygraphviz_1.3.1-1~nd+1_i386.deb Size: 74798 SHA256: 3c62efd8bfdd0935f4f351a868f460c547c682f704500dffeadc2ea43a4a0423 SHA1: 958033657b50bcbd3931e44328692cb9881c702d MD5sum: 1196a4037dbd590ee317c44d9cd4c55e Description: Python interface to the Graphviz graph layout and visualization package (Python 3) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the Python 3 version of python-pygraphviz. Package: python3-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 244 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd+1), python3-dbg, libc6 (>= 2.4), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python3-pygraphviz-dbg_1.3.1-1~nd+1_i386.deb Size: 103230 SHA256: 57a32b99d3289557c744fc3e5711353871d4e6746f620bfb88afa40302d3beef SHA1: 7cc75c303eaaa6b7fcf0802473371d5642a4af83 MD5sum: e89c184d4d3e713daec07b0abe0faa2d Description: Python interface to the Graphviz graph layout and visualization package (py3k debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python3-pygraphviz. Build-Ids: 927eeac2540acf2d8de023021cb2b7766e3cba38 Package: python3-pynwb Source: pynwb Version: 1.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 711 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.9~), python3-hdmf (>= 1.5.4~), python3-numpy, python3-pandas, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.2.1-1~nd+1_all.deb Size: 72244 SHA256: 3d32ae114516ef2f4b52d6b5bcbae1a28b5778f3d4286bded53b0b6d4fee30a5 SHA1: 331924080da5b16348e89569d710a4ae0da905a6 MD5sum: 0959b849c5947432438e0634dae88508 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd+1_all.deb Size: 9612 SHA256: 27865e70cd25dccecbb2f996be627a1e95488d38a879352557d2f35a8f123263 SHA1: 6942c8047a140178c6312f7dc66a5b30e2adbdee MD5sum: 6d905f6736df098d6f3532181e95e74f Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-pyrsistent Source: pyrsistent Version: 0.15.5-1~nd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, python3 (<< 3.9), python3 (>= 3.7~), python3-six, python3:any, libc6 (>= 2.4) Multi-Arch: same Homepage: https://github.com/tobgu/pyrsistent/ Priority: optional Section: python Filename: pool/main/p/pyrsistent/python3-pyrsistent_0.15.5-1~nd1~nd+1_i386.deb Size: 60916 SHA256: f2d6b3e135e92a0b1458de58021399a48c791805b70bd35fd83c0b55ec1b852d SHA1: b856e4c0887b75d046237cac747c9c3163df1a0b MD5sum: 9fa239ff142f853b4543b0ff818ce414 Description: persistent/functional/immutable data structures for Python Pyrsistent is a number of persistent collections (sometimes referred to as functional data structures). Persistent in the sense that they are immutable. . All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The original structure is left untouched. . The collection types and key features currently implemented are: . * PVector, similar to a python list * PMap, similar to dict * PSet, similar to set * PRecord, a PMap on steroids with fixed fields, optional type and invariant checking and much more * PClass, a Python class fixed fields, optional type and invariant checking and much more * Checked collections, PVector, PMap and PSet with optional type and invariance checks and more * PBag, similar to collections.Counter * PList, a classic singly linked list * PDeque, similar to collections.deque * Immutable object type (immutable) built on the named tuple * freeze and thaw functions to convert between pythons standard collections and pyrsistent collections. * Flexible transformations of arbitrarily complex structures built from PMaps and PVectors. Package: python3-pyrsistent-dbgsym Source: pyrsistent Version: 0.15.5-1~nd1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: python3-pyrsistent (= 0.15.5-1~nd1~nd+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/p/pyrsistent/python3-pyrsistent-dbgsym_0.15.5-1~nd1~nd+1_i386.deb Size: 66980 SHA256: 3a50f8daa6108332c10deaf544c1732fd1077faf55e9154453601119bc860d9e SHA1: 9dc6015667d319dcacbb86bcf96fe237f8c648d1 MD5sum: 0083359c45e43de80872d3bc0ff8eacf Description: debug symbols for python3-pyrsistent Build-Ids: 73adf0ef7e99fb4c6dd349e6189deea223e10475 a339672145cbd31a4d583755e7f527c065dd6e6e Package: python3-pytest Source: pytest Version: 3.0.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_3.0.4-1~nd+1_all.deb Size: 181276 SHA256: fe3f6152bfc2cd968b3589c896fb3df5276213b8cda7405a9d67b6a0ed25ebc8 SHA1: 10539b671cab14e268dbf1ad05d15d69ffefda4e MD5sum: 51e85dd49f028a65ddb9657707ea3b5a Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py.test-3 script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://bitbucket.org/pytest-dev/pytest-localserver/ Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-2~nd+1_all.deb Size: 19274 SHA256: 97a7b78b2e02d5065ec6804cb7d890befc54aeeeccf4eb28e6cf3b60287ac3de SHA1: 39e1d74dd953692835179b37f5b8f1cf1455813c MD5sum: 4e985d26f70005cc1d1f4cddded2fe4e Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd+1_all.deb Size: 5724 SHA256: d1d4de5834aedf07c5048c0240c07b6b48ccad80957e7d656bf0773326b9cdc0 SHA1: a878173779a4f9651dd416792ef1c446d0aad9ee MD5sum: 30ba6a3d4ecfa3acc9d387e1fb338a6d Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-pyxid Source: pyxid Version: 1.0-4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any, python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd+1_all.deb Size: 10988 SHA256: 665c7906729af4118346adea4196ec7fd83e6420c9c4a3132f2d192ee44789e0 SHA1: 519133c9ebda445ac0f7c79068ee6f3c818af48f MD5sum: fb2e98724a5758c4a80d4ad79298dbbf Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python3-quantities Source: python-quantities Version: 0.12.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: https://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.4-1~nd+1_all.deb Size: 57484 SHA256: ba2531e79244ccb185c18805c75b0303810c9dd69c7d87c07cb1df17f152a18d SHA1: 634f1c5420cd7e891776b5d6f2850dab51bac930 MD5sum: 9d968a2d4fb29caee7e7dfd1a139cc36 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python3-questplus Source: python-questplus Version: 2019.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3-json-tricks, python3-numpy, python3-scipy, python3-xarray, python3:any Homepage: https://github.com/hoechenberger/questplus Priority: optional Section: python Filename: pool/main/p/python-questplus/python3-questplus_2019.4-3~nd+1_i386.deb Size: 13976 SHA256: a9ac36e06fac8373c71e51be557b7c0d3c996e07b2234108d44c8115291d36ca SHA1: 9732431c9e83b586c06bebc77056cc3e41a6fc43 MD5sum: 0a1fd29c9655e7bab2ddf82d1f2460ae Description: QUEST+ implementation in Python3 QUEST+ is a Bayesian adaptive psychometric testing method that allows an arbitrary number of stimulus dimensions, psychometric function parameters, and trial outcomes. . This package provides an implementation in Python3. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1252 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd+1_all.deb Size: 252072 SHA256: 34eae47b51d001303a5edecac92e989df637ed890e345235fc85b45f0ffd1302 SHA1: ae63bff1ff73941ad88b632b0dddf1ee44e70a38 MD5sum: dc21cd25510d86239ad94995e31fdecd Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-reprozip Source: reprozip Version: 1.0.14-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd+1_i386.deb Size: 47036 SHA256: 34b98a78e82a7a9e17f1454e023f5dfbe76df716bfaf70a00816997a08f4a692 SHA1: a3c8732a262a689f0df819732b7e15e825c4d5bb MD5sum: 56c22b1158dd021d2de823f0fbc2fed5 Description: modules for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the modules for Python 3. Package: python3-reprozip-dbg Source: reprozip Version: 1.0.14-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 442 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd+1) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: debug Filename: pool/main/r/reprozip/python3-reprozip-dbg_1.0.14-1~nd+1_i386.deb Size: 170648 SHA256: b328ffc668a30663a99c1d30393fd45756817a1938610351f7a7fc4beff5b937 SHA1: 167332c1454410e8a8b478fa314ec027a0c0b198 MD5sum: 68d27d5c8bc6afa4e976cc64b4438ccb Description: debug extensions for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the debug extensions for Python 3. Build-Ids: 4d19fa524b696b59ffdb41262c3b6e65b21bc751 56137492e96bdfe525e06bf4f03a288563e482c4 Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd+1_all.deb Size: 67920 SHA256: 85db1db645bfe5f6d02bde57c8c8df004f026b94e237011d2b44ad3ce52db677 SHA1: 345e61d12fa61e9a0cc4e3274652ee7d3f94d8dc MD5sum: bd062c8c6c8e61e5fd5435079bcfab9d Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-rnc2rng Source: rnc2rng Version: 2.6.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python3-rply, python3:any Homepage: https://github.com/djc/rnc2rng Priority: optional Section: python Filename: pool/main/r/rnc2rng/python3-rnc2rng_2.6.4-1~nd+1_all.deb Size: 11708 SHA256: 1d60d5b1f3cca4ff4323d8e989cb6f8ebcbc60edbcf3773d0832b8549c2b6c95 SHA1: ba4efc7526898340c7a56c12edc8402390a506a5 MD5sum: 9859d5fca8f81e4a67e2dc7f7351e26e Description: RELAX NG Compact to regular syntax conversion library Converts RELAX NG schemata in Compact syntax (rnc) to the equivalent schema in the XML-based default RELAX NG syntax. . This package installs the library for Python 3. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd+1_all.deb Size: 14198 SHA256: 0a48957e6e67e556bca81bab4730f4c38bfd26c806de163d9f0c1386a084d9c3 SHA1: 918a70eb753cb2fd94a4704ba2d53304e50a9453 MD5sum: 220cd18c97a25e170ee705bfb80b364e Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-seaborn Source: seaborn Version: 0.7.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.7.1-2~nd+1_all.deb Size: 128254 SHA256: 88da7abdee1e8ed2c7cd24662994acfafe422547ac306dc4b9dcb82c9eaaf8f7 SHA1: 8429767031471ceeca21eeca0044f53294f93286 MD5sum: ecf7b4b1c636f94376c9e1beca400565 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd+1_all.deb Size: 121934 SHA256: d36543b92692f75fd41013a92eb7b83804f31efa3e2fa2e8dba0286be5e67f66 SHA1: 89da5ed3ef4930101f70601d1027b86e8b638eb2 MD5sum: 18756da7c9bda50df0d48df6bf417b55 Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd+1_all.deb Size: 11504 SHA256: 18ecb5022d4c925922743c9be93a67d14d46299c444fc16cd44886a062f714b9 SHA1: f3863998d2b04d2a9c86e558aedd803eb211f799 MD5sum: b02bc4c26bc7a1acddbc97da381c5cf9 Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd+1_all.deb Size: 14732 SHA256: 70341ac97af5a58e2f26774db6d8304e4eea45790a4faa39c47c0c02876572f3 SHA1: 2dd8b96107840013058b51651843cb1094e2e631 MD5sum: 520a3abb7ced7b4d8b824f1802d16a29 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26053 Depends: neurodebian-popularity-contest, python3-matplotlib, python3-networkx, python3-numpy, python3-pil, python3-scipy, python3-six (>= 1.10.0), python3-skimage-lib (>= 0.14.0-1~nd+1), python3-cloudpickle, python3-pywt, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-dask Suggests: python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage_0.14.0-1~nd+1_all.deb Size: 19907884 SHA256: ff61211b1aa0bf1849378ed708b69b5598fc8f4d1cef7680301572d687df2188 SHA1: dc2e9f9caf9eb96f285439f9703e360fe976c399 MD5sum: ace20bf6599ec648e0e2aac168ea38ab Description: Python 3 modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 3 module. Package: python3-skimage-lib Source: skimage Version: 0.14.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10161 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python3-skimage Multi-Arch: same Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.14.0-1~nd+1_i386.deb Size: 1331120 SHA256: 295bdb4a6e344b91f397b40ed48f414a54f53bcb6a05be92f63bb80b5eb5e6a9 SHA1: c417a269b15cf2fd6c36d31f7021a2d9438f9fda MD5sum: 3bf271c6ab95c35b924852ba948fbf54 Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. 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Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14137 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.6~) Provides: python3.6-sklearn-lib, python3.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.20.0+dfsg-2~nd+1_i386.deb Size: 1787052 SHA256: e8affdb0466490b88a3e2bb080a8915b4f9ddac849b5d889b32b931b31e348b0 SHA1: b364e8d31b41c5c956d4afa3305c450bd8fb5cb2 MD5sum: 5a21f06be7b8196a8d9e0086d8aa6db7 Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd+1_all.deb Size: 22584 SHA256: 941c358395cc49264d4a38feda53639c7c132ac311fea62465989ad1edcdb8a8 SHA1: ac1c597abb7a31082bda19ba18e6d8fe9cd0b5de MD5sum: a6b727da2e6e8c1a5d12af9df8bd7b5d Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any, python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd+1_all.deb Size: 71956 SHA256: 46af6c1067752ec9f013301988df1406499ae57e7d93b0b7ce5523e7311e5c1f SHA1: cb9eee806d3b64224d8008e15b1d0823e2f88936 MD5sum: ec859701838a53a5610788bcea5b0a29 Description: extension that builds an HTML gallery of examples from Python scripts (Python 3) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 3 version of sphinx-gallery. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd+1_all.deb Size: 117236 SHA256: c18c9383781a8fc99ff2f1cd1b24c00c37c27553b34cf97bc8386a80e1063a8a SHA1: e5bb14868d4e0ccad143c02bc7f8f791491c74ea MD5sum: da5e186dfba00386b91466258fee5c75 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.3.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.3.0-2~nd+1_all.deb Size: 8032 SHA256: de5db54f5351e676977fffbace632b10bca2ce7e08c441dcf6def9e0a7a831ad SHA1: ee6ed0941558f07f7987eace81e7773d27f88447 MD5sum: eb3bbb88ec1aa395b7c5b51ac48ba0cb Description: Sphinx extension for running 'sphinx-apidoc' on each build - Python 3.x sphinx-apidoc is a tool for automatic generation of Sphinx sources that, using the autodoc sphinx_autodoc extension, documents a whole package in the style of other automatic API documentation tools. sphinx-apidoc does not actually build documentation - rather it simply generates it. As a result, it must be run before sphinx-build. . This package contains the Python 3.x module. Package: python3-statsmodels Source: statsmodels Version: 0.9.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18198 Depends: neurodebian-popularity-contest, python3-numpy, python3:any, python3-scipy, python3-statsmodels-lib (>= 0.9.0-2~nd+1), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-colorama, python3-cvxopt Suggests: python-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels_0.9.0-2~nd+1_all.deb Size: 3426800 SHA256: c2ba7e97bd1f173ea38fa10f7c046f362020cb15cb3830655f8a3302c226a970 SHA1: d4645f08eb98b9274617846bf2711ed6c9daa7c9 MD5sum: bd5b488411da7e294451fad626c87ff0 Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6497 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~), libc6 (>= 2.27) Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels-lib_0.9.0-2~nd+1_i386.deb Size: 922944 SHA256: cf98ecfbb591903c675be7923dd236766655902a3c7136b6dc9db23aac5dbd2a SHA1: 122339967b3690af9c6e4f6df05f4a82554e013a MD5sum: 0971d21641ee0b3970482b2ff6ef63f4 Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7044 Depends: python3-statsmodels-lib (= 0.9.0-2~nd+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python3-statsmodels-lib-dbgsym_0.9.0-2~nd+1_i386.deb Size: 6196888 SHA256: 12e42bad69e6b09e5b0b92f23ce381802d9f9172bc9462647853f0e0c7012c44 SHA1: e5a6af5f6e85b8dcccdb171dc355a6bacf688e10 MD5sum: f07ed3a47a754cba47d8cffcdb6823a0 Description: debug symbols for python3-statsmodels-lib Build-Ids: 069b503a9bc1c2723d695868c2f8cdaf41fc95e8 07ee98904122c7db5f20b2e1e058423ca37a1440 2c9f9ddcd307c84d494ccf1e858867bdcf7968bd 2dfc9cf13dd4f1cc8706aa7bd395888298ffb8a6 446790ebc7bc2de7d9a50483cd019aee5bd2227e 683ad1ef8f6fb92d2b03bf2baae0f34a8b3b4b9a 76ba77b4d23387f7ac9688b7ce895d17d6d93e84 7761b14098eac4e0a4059e23bf399b62c96a4770 86f61e257c561cba24f66627a4987ff95622786f 9f91d6ff58bea776924d47e7bbf3eb0ba9468af5 aa43233e82b4ffbf75d1348eed63defb6587b360 b87fd4cee5daf22da37e627141ab97b04813b968 c1628c13ea5be242617a04b7c6ce406ae9890307 c1ce2e4bc9c0caf9da4428ec31f099ff85e90da1 dda110309d655a7c8949c2c37b8b5a94de0af5e5 ded5037772e9ac35c6fdb9daad7a03c51ba1984c e99ccd5b24f0ac92eb0e90f3bdf90664d3c83f05 f29c2d34a1f480fbee8add0297707f48e813f310 Package: python3-sympy Source: sympy Version: 1.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python3:any, python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.3-1~nd+1_all.deb Size: 3499932 SHA256: 167aa601655483815a0aa83bb36656223432f3bba8e493aa1ca07ae4ef19d361 SHA1: 83d2c9660fe173476ffbc05e3313233add3b6a1d MD5sum: b79c7325a28a1f87c5f251f54fd19e5f Description: Computer Algebra System (CAS) in Python (Python3) SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the Python 3 version of sympy. Package: python3-tables Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, python3-numpy, python3-numexpr, python3:any (>= 3.3.2-2~), python3-tables-lib (>= 3.2.1-1~nd+1), python3-tables-lib (<< 3.2.1-1~nd+1.1~), python-tables-data (= 3.2.1-1~nd+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables_3.2.1-1~nd+1_all.deb Size: 334588 SHA256: 852f700742c25b047d53d4e8b6808ef62ed049dab623c996ac54cbcb53ae0a74 SHA1: b45f903684c952b6e6a622786be10b1291903da6 MD5sum: 5a897064e93c5b23d1edabb8f7aea48b Description: hierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package. Package: python3-tables-dbg Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1683 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd+1), python3-tables-lib (= 3.2.1-1~nd+1), python3-numpy-dbg, python3-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python3-tables-dbg_3.2.1-1~nd+1_i386.deb Size: 456144 SHA256: 9884e03bc4d206d6383d78581255005103e483354573d19056dbd276dd3be831 SHA1: c9d221adf4dc7e9035fac2095592c32bd725648b MD5sum: 2e2192cc7660e206cfa0a45856dd28b4 Description: hierarchical database for Python 3 based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-tables-lib Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1347 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd+1) Breaks: python3-tables (<< 3.0.0-3) Replaces: python3-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables-lib_3.2.1-1~nd+1_i386.deb Size: 358674 SHA256: 0aef375e069ce92fd1fa3b7fa1e9e4dfe76c7280e69e79982b3cfb5f16930985 SHA1: 3c50f457d863f268ce827e2959f39a8d1628c42d MD5sum: ac73b0de9f30e68fe6603c107b6a8a57 Description: hierarchical database for Python3 based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 interpreter. Package: python3-tomli Source: python-tomli Version: 1.2.2-2~bpo11+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 57 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/hukkin/tomli Priority: optional Section: python Filename: pool/main/p/python-tomli/python3-tomli_1.2.2-2~bpo11+1~nd+1_all.deb Size: 14260 SHA256: ce4b4de0ef57ac30ee9fb0f2d4c161396e51cf9ba8ebe455a706f45f59208def SHA1: 83e5fa8a93e127286918add456fbd0ba4abf9797 MD5sum: b39fc9623f2030d5c3cc3d654f16294b Description: lil' TOML parser for Python Tomli is a Python library for parsing TOML. https://toml.io/ Tomli is fully compatible with TOML v1.0.0. https://toml.io/en/v1.0.0 Package: python3-tqdm Source: tqdm Version: 4.11.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.11.2-1~nd+1_all.deb Size: 49940 SHA256: d34171f6f59aa28768f82b75b6743a9a5aeeb9a44667e853ac612ed82b4336f5 SHA1: b90c04ae49af968b2b7d09414c242ce859bf89a8 MD5sum: c1c971c0fb1cf8de6d7678eace54b613 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd+1_all.deb Size: 65488 SHA256: 1ada7f90b1ab3d41825cb89accbc80c06e6b6566653e8a0c8b95dd9226fac74f SHA1: f6d02f35691c66648412cb7fbd9048ce55c92864 MD5sum: 3279cd2b1b5ec0b3f754a3dc9da02a6d Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd+1_all.deb Size: 43584 SHA256: 03bf642db456d3b20d1126ed18400c9e268ae3e23f4016f0e007864528343114 SHA1: 8a45187f301eb74e3b892703c43e0216b9cd2581 MD5sum: aa1eb1d97032c236712fa2c291c3e7ef Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd+1_all.deb Size: 14200 SHA256: 3a79d12f832d860e8feada19fd1443aec07c08d35e6df6b83e0d5a194d085789 SHA1: f6171c53aab3128a336c59d832f146ea1e10cf65 MD5sum: 6cebff033f0e6809d210f716e0b5bf83 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd+1_all.deb Size: 165542 SHA256: 36285a90f4bee14c4e98680c74ebdaa3bee13755c8f55fbbb161933926a38a20 SHA1: a3c8437f41a567a54d24841aa7111b15141547f8 MD5sum: 2e29700478a2d7c595cff6aa001cfd7a Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd+1_all.deb Size: 290832 SHA256: 310b3abbe32c25aaa441ffd3c1f36da1b2f33840fd8dfef38adfa4ef1dcd3ab1 SHA1: e7b063f7925f58985a0529352765ee4764435d9e MD5sum: ea2827405a603877fcb58e65cf8abdc3 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd+1_i386.deb Size: 32918 SHA256: 936ad68cf86010b4c47b1b4d7b1b70eeb17707cffc70753c853c123b7bc25d6f SHA1: 7f46bdb0ed9ad79f03c198a21dc1b1772f55ddc7 MD5sum: c6a13da09495b6fe5aa44e1e86315c52 Description: decorators, wrappers and monkey patching. - Python 3.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: python3-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: python3-wrapt (= 1.9.0-4~nd0~nd+1) Priority: optional Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd+1_i386.deb Size: 45914 SHA256: bdc78cba9d0edf32dd55391c39c4e6e418133e42f31f6bf334772461086649c5 SHA1: 97adedc57c53676fd47e1cb43f8beb4194b7cb2f MD5sum: 572267e5d8a17e5d63c142d8b5ca2b19 Description: debug symbols for python3-wrapt Build-Ids: 3d518917e5da18ad1980021277e3c5d7318cada5 e07bc10dad44eddd4921bd46ae0bd37529c9997d Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd+1_all.deb Size: 86208 SHA256: c74ed45a2b2df77c5293a8d7c726d549262f22b2a7da788b84b0163bc989a579 SHA1: ad968d3f4ca514f31a8d04c967dcf39bfc5149a0 MD5sum: 0940138388e5d3d0f1e94609d4397516 Description: module for writing Microsoft Excel spreadsheet files - Python 3.x This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 3.x module. Package: python3-zipp Source: python-zipp Version: 1.0.0-3+nd1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, python3-more-itertools, python3:any Homepage: https://github.com/jaraco/zipp Priority: optional Section: python Filename: pool/main/p/python-zipp/python3-zipp_1.0.0-3+nd1~nd+1_all.deb Size: 6316 SHA256: 5acf4fbd8a5577a58b2fd871be029cd4c6ff032434990c64dbf325ba25876883 SHA1: c248ac720b4358c34a9f236aeefcad9e047780e1 MD5sum: c2fae4f517c1e2c1a57bf35086776d18 Description: pathlib-compatible Zipfile object wrapper - Python 3.x A backport of the Path object to older versions of Python. It's pathlib-compatible interface for zip files using zipfile object inside. . This package contains Python 3.x module. Package: qnifti2dicom Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3134 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdcm2.6, libinsighttoolkit4.9, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libvtk6.2, libvtk6.2-qt, nifti2dicom (= 0.4.11-1~nd+1), nifti2dicom-data (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.11-1~nd+1_i386.deb Size: 461572 SHA256: 610c0b37a59db6c152e8c75020c6e396d7275619b53af718fff301fda48ce87d SHA1: bcc5f495eb0a500adac81db4d2624af8d08bd9d9 MD5sum: 7e6531bb370e5ee33ef3739289915739 Description: convert 3D medical images to DICOM 2D series (gui) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the Qt4 GUI. Package: rclone Version: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 354 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libgc1c2 (>= 1:7.2d), libreadline7 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_4.1+dbg1.3~dfsg.1-1~nd+1_i386.deb Size: 165168 SHA256: 1e9c05281299cf4ca08aa2f6dd6ebc7b87cce0e8e8e5e314696eac547143f854 SHA1: 21d269d3d463667872ff204261fbe80a8545859b MD5sum: ba61c4bd03ea4e24adc0c4de7cbba18a Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: remake-dbgsym Source: remake Version: 4.1+dbg1.3~dfsg.1-1~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd+1) Priority: optional Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd+1_i386.deb Size: 284112 SHA256: 69abde78374f4dee41531e501e7443d668133cabe4f72f60748352abb2e12c29 SHA1: 9789085f7faa24c70da4557263513ba86fb9f2f5 MD5sum: d79c57bb30710080b21aa269afd3b547 Description: debug symbols for remake Build-Ids: 5e3b2c314787e559765e2c36888a0a6858802661 Package: reprozip Version: 1.0.14-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-reprozip Multi-Arch: foreign Homepage: https://www.reprozip.org Priority: optional Section: utils Filename: pool/main/r/reprozip/reprozip_1.0.14-1~nd+1_all.deb Size: 3628 SHA256: fbb8501a4708749d252f19c00d410af96f1cbbebe98c729308bc46aa78ef24ef SHA1: 94dcb38c7605498be9ac104e0e8a076aed2b4964 MD5sum: 137f286892b8196b9383e26b5dba3469 Description: tool for reproducing scientific experiments (packer) ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the ReproZip packer. Package: ruby-asciidoctor Source: asciidoctor Version: 1.5.7.1-1~nd~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter Breaks: asciidoctor (<< 1.5.6.2-1) Replaces: asciidoctor (<< 1.5.6.2-1) Homepage: http://asciidoctor.org Priority: optional Section: ruby Filename: pool/main/a/asciidoctor/ruby-asciidoctor_1.5.7.1-1~nd~nd+1_all.deb Size: 183612 SHA256: 41a9d6053872180a16d1535d338e5f74c48118921fadbe43f8d918942d19b436 SHA1: c0519336e5de2133c77278f81c25cdbfd73fb7c6 MD5sum: c10ab43593909763eac858f73dd3355a Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: s3cmd Version: 2.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 524 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.3.0-1~nd+1_all.deb Size: 120812 SHA256: f0360bd17cbae0b10e6e0184a71a4371976d38fbca780008f59ce2b5cdcd9f09 SHA1: 13bcba8834e8b2a899c1a92ddb326a69406a51cc MD5sum: a16ea45400a74856f843e3ba12830063 Description: command-line Amazon S3 client Command-line tool to upload, retrieve and manage data in Amazon S3 service (http://www.amazon.com/s3/), designed for use in scripts. Features: - creating and destroying S3 buckets - uploading and downloading files - listing remote files - removing remote files - synchronizing local directories to S3 buckets - getting various information about buckets and disk usage . s3cmd supports both (US and EU) S3 datacentres. Package: sigviewer Version: 0.5.1+svn556-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 945 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.6) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd+1_i386.deb Size: 339134 SHA256: cd0a6887ae02d9dc37978d86297918a39010ea202f2d8a4b2faaceaf67da0985 SHA1: eb605970d3ea62567e04bc6d74c88e4fbf9f9f9e MD5sum: d9ebfe0b56f2410697f8a88f2ed3a005 Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: singularity-container Version: 2.6.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2603 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.28) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd+1_i386.deb Size: 330072 SHA256: 06fdd420c459829e56943b17c7d5b7ba5cb4a71d25591fac0e6e3ac2f5116fdf SHA1: 0b156874894597799c768c82b90fd2a4f940f1fd MD5sum: 11fd9613d39d7adfdc6f73bcb06a7258 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.6.1-2~nd+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1035 Depends: singularity-container (= 2.6.1-2~nd+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2~nd+1_i386.deb Size: 834756 SHA256: 3e512c69608f8bea339565c9f2d5e0c99c02b976c31d78adcf58e2a4e6472465 SHA1: 4b5453d9e4eef751cd1bd42e36ceab18285696fc MD5sum: 09938bb1fe14110749978085cdea7167 Description: debug symbols for singularity-container Build-Ids: 13077f29923955d11b3791f7573c0ed35326a698 164375f435fbb87c72547540c95d375a723d0549 243d33a4f29b520838d22c0f6987c41bee0762bc 2b76c58be573e6f5923e0df810aae05351cb1d72 4af322339ede8f8e21e1571eb5a9c5410f11b5c6 4da9f04d6a6a8be51666e264ac577afc4f250da8 5b42f53dc0c99378c98efb79f5e45ea56237325a 878a55d3d679424d5e2d9d6c81cb6627afde604d a58f09e2a0a352a7c71a28427a4322f2f083dbb8 ac3a0eaf29a908b3a8fc4b614d569d34ad3df816 b944097c17da192a027f703a1066be1ae08f0300 bb5f20cbc9dfe08c45c125cea9f1b6ae147b37cb c02fab191f3c07888e127df3dd81b1b6a71ca1a1 dadc3480175d8c07c1175174f522bd2e4daf09b1 f43d48e14234a0367b5bd24a95c1560adaa7e51d Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18626 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd+1_all.deb Size: 10737524 SHA256: b6a893c9b80b40421f5d12d9a135bdc12fb17f3fab59e0106ef1fc24ad3e77af SHA1: 235814d62d21157760fbae3cf4401cc6d48cf555 MD5sum: 33cd04a3593f6f216ac68a3fc0ea82a4 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73046 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd+1_all.deb Size: 52180218 SHA256: 92b31d00b8ee13b7bcdf249cff509ec988cc2fc0703e301eed662571b89135f3 SHA1: 6540ca3feacd1d7efd53733b78fde41c7defb2c2 MD5sum: 973ce7224b20331a4ccfde26eba8acbe Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9273 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd+1_all.deb Size: 8991072 SHA256: a10f23addd5b16acad8feabb200ab8fda604f9ea177e7c32053ab0c60a768d9b SHA1: 65a715c185007eaccc71513dcad03da43d23cbdc MD5sum: 890e9a307f742f1573165ce80a18032f Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spyder Version: 2.2.5+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd+1_all.deb Size: 52982 SHA256: eddafac432df7d273ddf59837b6ff169aa3ec1776348d59dec5add709bdab935 SHA1: fb37bcc12d9ed07c06c79368f8da3b195323ecaf MD5sum: 96c4abda1f6c31f93c1b3b88f4771106 Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1962 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.4-1~nd+1_all.deb Size: 1291144 SHA256: 18e37d83ec7009a425bd2e555c51862c1be29603896bade502678c236dba81e8 SHA1: 379613ed9f79ab4816a97724522fd8e3d446518e MD5sum: 14c2106d870bad90b4c86bc5971f9eff Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd+1_all.deb Size: 28590 SHA256: c50f821d6eb4b0afe501c575de1b66aa196ac7745f412ca7c3064eed3f4d3c43 SHA1: 8002f08bea6021c1fa12d9e2de8b2e2482fcd799 MD5sum: aa37bec3c54a92373aeb2871266f1e77 Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.6, 2.7 Package: stimfit Version: 0.15.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3148 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (>= 2.7.5-5~), libsuitesparse-dev, zlib1g-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.15.8-1~nd+1_i386.deb Size: 943988 SHA256: 04c762db8b16baee8683f658859380c2ba79141a48d38f7f3e182467b2100a65 SHA1: f7b88bf30f1dc0a2c3f6edb8e47056eb3b367d92 MD5sum: 4ac09e4f18fd1ab52eef30226e074316 Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8106 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.8-1~nd+1_i386.deb Size: 7929364 SHA256: 314b9049452fee233492abf00639a68309aacb2a3a860075db762b950b5627cb SHA1: 98761b1e34de0901b11004a53f8e33e6044ebf53 MD5sum: 40da65ff5070dff03085d44cbd1d3fe7 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Build-Ids: 135c6a1c0420ee38d8e36ec2caa60f901c29fd7d 3ae729622b5497dcd36a40ba5e77393c4e9a9d6f 61990e54c41859360e3b893a5b75a54f46cabde5 6f9f132bc1512ded725b862aad559d5b937bb79c a5e45a0e9aad0c07371f544ce2aeedaf9b600454 d77ae61d1585dc94deadc8c130450b2f2e48cfb3 e0bb18bafe15148c4eddbaf3f117dea15f044c0d Package: svgtune Version: 0.3.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3, python3-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.1-1~nd+1_all.deb Size: 7564 SHA256: f91af39826be598714376e85e4aa88ee00aa4a76f1b2c93cb29e0803a06664ba SHA1: 49f39784440ef7d9fcb2df2e01737855d7b40838 MD5sum: 7ae7e03d2d4e1c6f0eaade7d11cf07a6 Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tcl-vtk Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17913 Depends: neurodebian-popularity-contest, libvtk5.8 (= 5.8.0-7+b0~nd+1), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libpq5, libstdc++6 (>= 4.1.1), libx11-6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4) Suggests: vtk-examples, vtk-doc Replaces: vtk, vtk-tcl Homepage: http://www.vtk.org/ Priority: optional Section: interpreters Filename: pool/main/v/vtk/tcl-vtk_5.8.0-7+b0~nd+1_i386.deb Size: 5575470 SHA256: b91049856a1d2fec4c35b156cb750536d5725af00916f296a9c3d7421d46cd0f SHA1: 4dd55b05fd63f7330a00febeae38c87cad99ec3e MD5sum: df00ae9d830b44c472bef5163b2ac57b Description: Tcl bindings for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This provides the shared libraries and executable that enable one to use VTK from Tcl/Tk scripts. You will need Tcl/Tk and vtk installed to use this. Package: testkraut Version: 0.0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd+1_all.deb Size: 100016 SHA256: 5ea3d436c473902040c138cb6100770fc3d0969e891ce84eabf2f644ee367a5a SHA1: b29570908455d37b7397bd9eed303b13e59b090b MD5sum: eafa9781d2a05681ca03188015f96302 Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.6, 2.7 Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6 (>= 2:1.4.99.1), libxext6, zlib1g (>= 1:1.1.4) Conflicts: tigervnc-server (<< 1.1.90), tigervnc-viewer (<< 1.1.90) Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-common_1.5.0-1~nd+1_i386.deb Size: 62692 SHA256: 74b729a0ff0883c2454898c11c7afee0c7d3bc90bb384831175eeba398e304c4 SHA1: 45c46f8df121e4cda291ac29f4daa56456ccf46d MD5sum: 47839fd7201d73a7dc7dd7af0eb2fc4a Description: Virtual network computing; Common software needed by clients and servers VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides the common software for both client and server. Package: tigervnc-scraping-server Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 503 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxdamage1 (>= 1:1.1), libxext6, libxtst6, zlib1g (>= 1:1.1.4) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-scraping-server_1.5.0-1~nd+1_i386.deb Size: 186428 SHA256: 81dbfecd8bd300e4046a660d58e970bac7a46e26204c1162eddc88672890eaab SHA1: 25be2ce4148672bc5452ee59ccccbdb70d53c6df MD5sum: 027de31ae311c920f9f0acba70c698a0 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a vncserver which uses screen scraping of an already running X server to provide its VNC desktop. The VNC desktop can be viewed by any vncviewer even on other operating systems. . Note: If you only want to scrap your local X11 server, you should consider the tigervnc-xorg-extension package. This package provides the vnc extension for your local X11 server. The usage of this extension is more efficient than a scraping vnc server. Package: tigervnc-standalone-server Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2732 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.17), libgcc1 (>= 1:4.1.1), libgcrypt20 (>= 1.6.1), libgl1-mesa-glx | libgl1, libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libpixman-1-0 (>= 0.30.0), libselinux1 (>= 2.0.82), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxau6, libxdmcp6, libxfont1 (>= 1:1.4.2), libxshmfence1, zlib1g (>= 1:1.1.4), perl Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-standalone-server_1.5.0-1~nd+1_i386.deb Size: 1017020 SHA256: 423b8786593429c942358bb2e84b3916eb7ea81e18ca9a1d4619b5d0a63a9598 SHA1: 2eab77a0bd213688ee4670e9cbd62537b352d238 MD5sum: 38a8a2c8b3f071368fde3489bcd64e63 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a standalone vncserver to which X clients can connect. The server generates a display that can be viewed with a vncviewer. . Note: This server does not need a display. You need a vncviewer to see something. This viewer may also be on a computer running other operating systems. Package: tigervnc-viewer Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), tigervnc-common, libc6 (>= 2.15), libfltk-images1.3 (>= 1.3.3), libfltk1.3 (>= 1.3.3), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3, libxft2 (>> 2.1.1), libxinerama1, libxrender1, zlib1g (>= 1:1.1.4) Provides: vnc-viewer Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-viewer_1.5.0-1~nd+1_i386.deb Size: 160002 SHA256: d4131cdd68e5c22d1516be6dac79c91a32daac9a884dfb11828c2a6db6ace605 SHA1: c5f4b319dfd205edaf8463e38b75dce52d14a6e9 MD5sum: 600ef5c743d7fee3d34ec7f4755d2b70 Description: Virtual network computing client software for X VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides a vncclient for X, with this you can connect to a vncserver somewhere in the network and display its content in a window. There are vncservers available for other operating systems. Package: tigervnc-xorg-extension Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server, vnc-xorg-extension Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-xorg-extension_1.5.0-1~nd+1_i386.deb Size: 207206 SHA256: ef0a818401c56ea8aa14ba01d31f08ebb623031f631479fad3a5ac66c1d71bc3 SHA1: 0f628f6246b0bc49b2a818c6a988ba346537f901 MD5sum: c9be1f29dce6dcefd7bef6354cb23768 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It contains an X server connector so clients can connect to your local X desktop directly. Package: ubuntu-keyring Version: 2010.+09.30~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd+1_all.deb Size: 11788 SHA256: 87608e20a998b8cb9799d0613e97f0b4f592a26c1433b383ddd813aa69365155 SHA1: e943e925a1106701b6e0c160fd9c06a04490355d MD5sum: 24b363866e0f915e14ecd5ed541ee822 Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: utopia-documents Version: 3.0.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18013 Depends: neurodebian-popularity-contest, libboost-atomic1.62.0, libboost-chrono1.62.0, libboost-date-time1.62.0, libboost-python1.62.0, libboost-system1.62.0, libboost-thread1.62.0, libc6 (>= 2.7), libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libpcre3, libpcrecpp0v5 (>= 7.7), libpoppler64 (>= 0.48.0), libpython2.7 (>= 2.7), libqt5concurrent5 (>= 5.0.2), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5network5 (>= 5.4.0), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.0.2), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), python2.7, python:any (>= 2.7.5-5~), python-imaging, python-lxml (<< 3.0.0) | python-cssselect, python-lxml, xdg-utils, python-suds Homepage: http://utopiadocs.com Priority: optional Section: science Filename: pool/main/u/utopia-documents/utopia-documents_3.0.2-1~nd+1_i386.deb Size: 5687354 SHA256: 718f95377dd399e9e37e67aa0308e7d009fee83cc87cb3c0d01c2b77c868fe2d SHA1: 99bace6eb026686ca7d4b71eb75612126b335d9b MD5sum: f9fcb24a842b0689c14e5aafd2241489 Description: PDF reader that displays interactive annotations on scientific articles Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. It makes it easy to explore an article's content and claims, and investigate other recent articles that discuss the same or similar topics. . Get immediate access to an article's metadata and browse the relationship it has with the world at large. Generate a formatted citation for use in your own work, follow bibliographic links to cited articles, or get a document's related data at the click of a button. . Various extensions provide links to blogs, online data sources and to social media sites so you can see what other researchers have been saying about not only the article you're reading but its subject matter too. Package: utopia-documents-dbg Source: utopia-documents Version: 3.0.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55463 Depends: neurodebian-popularity-contest, utopia-documents (= 3.0.2-1~nd+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_3.0.2-1~nd+1_i386.deb Size: 54853024 SHA256: 93a32d49abef9314120c23de0517e0c08d72059087eeb778c7315f9b97bf7185 SHA1: c18ae6bb0f1acc0d095f63a99770de9747557b5b MD5sum: 9680f02dc789990eaebde0edb9a7f18c Description: debugging symbols for utopia-documents Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. . This package contains the debugging symbols for utopia-documents. Build-Ids: 01b84687a8c7a3f2fd4d0a112742a91d160631b4 062dabeee058dd80675da3ac104de693bbcd5d80 0b2319ddff1ff60d44dae880ecb76f54e6fb652c 1bb22d8012e46131c4d6d9f7fe7664e428c264d2 1eb3f34ced7d87fbe2e34dbffc3f62a975d970a8 2c86c361b0c5c9cf87844c63b39ccf309e30027a 36fd7360aa17043a35b3c7d002a2d391de6a3397 3ed7f5b72fd6e47f7cc93fea3e9961253a79cec8 3f04f1216bf82f2bad094baac4d8e51b11932b6c 494f886977015e8bac755ceb85bb1280ab95f843 50044df5ac1c58b3ee5b68935a9a9e21c1476f8f 5192ebba6682ac7ff76a445053a23124ee2c1404 533ae43918853aa77089af634305b9dba19b4ecd 5c1a3eab5d1b682de58fef2b031ad4efc04bae9e 69e98b76ac03ea47d1664307add1f64089593346 6aeb1ff2d76dfe09b09a70c7a2ae568396058c36 6e16eed087ff02da3494b21c81eee67c9eca7053 806a9aea87523b70e87a98199d7aff435298a245 8279b9b7f2ff8d0f6484124c0c92a3d126e8910a 884487bc3e6047418510dec8265bd7a2c1688d19 88b0276e9e7db46af936fe615dce4312e4999024 8cc95599869d4eb8ae3862ed6269cafabb0a07a1 8cd39218831577db025b7d4d17c60d090dec6d98 8d84b192b8dc01b31e74f568887af58e8ac5bebe 95a97d7dec6cbb633015b23d8d6f16edc642c875 97886806309f8927e8f1594524d4e698bcb01dab a157952150b8358b08202555ffc9772dc7b5a379 a303c3cdd7de5f272e52fdbbfa657f7872efc4f4 a58e41c4c57550dc33b54eae9a5cb7a5d105d119 abfe7ef1c51a4ad0b06731c37feb9e2c543a5629 aed9c92207325dfd31909f763e5b264ca7bf7391 b3afb1768bc6b1435b3672ed103f014f0f9c4400 c87e6eaf03edeafcb4067223981339a52aa204e7 d13b48b3b25f1b346358b9e3b4a470da53ac3c44 e36f6bfb35b935f207baf2818194548d889f4eef f0ba48290e8f810d1f2859735a95ce208013584e f449e606ebddb4170f3de7cb6a21ae62eb9b9d7a f4ae91279b51f7e2d2683aae3f6e3cebdbc18e54 fbd612ab704f28ca4ef2200f0cefa9303f3ece79 Package: via-bin Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libpng12-0 (>= 1.2.13-4), libsm6, libvia2, libx11-6, libxext6, libxmu6, libxt6 Recommends: libvia-doc Conflicts: via, via-utils Replaces: via-utils Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/v/via/via-bin_2.0.4-2~nd+1_i386.deb Size: 169598 SHA256: a537ab088a763c7091ec70780d923a9212944a82be34f32be21e4158a7c85686 SHA1: e15a22a678bc20a37ba955f777b3a97f8843b14b MD5sum: 4664ba6b226a2254dc1e09666a526447 Description: tools for volumetric image analysis VIA is a volumetric image analysis suite for functional and structural (medical) images. The suite consists of different tools ranging from simple data handling over viewers to complex image transformation. . All tools operate on data in VISTA format. The package contains several converters from e.g. PNG, PGM or PNM to this data format and back. Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 229 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:3.0), libstdc++6 (>= 7), libvw0 (= 8.6.1.dfsg1-1~nd+1), zlib1g (>= 1:1.1.4) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1~nd+1_i386.deb Size: 61608 SHA256: b3443acd2b29d405766be39ddc62d02d1be766693d3b14d970be16c62aa94fd5 SHA1: 53a25a3e3807bbea84314316603a93642231d0f1 MD5sum: 71a7361a06245ea379e92aa168f40031 Description: fast and scalable online machine learning algorithm Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing Package: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 572 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd+1_i386.deb Size: 91356 SHA256: ad61ac5fd077612603542f8e16d85f618f4fa98ee47cf5edb492bb255c49fa40 SHA1: f8e2b45d012f12129c68fc0818b9f98adc702e79 MD5sum: 2ab9c5ed1ee535a005a1c55538512b1d Description: fast and scalable online machine learning algorithm - debug files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains debug symbols for the binaries shipped by vowpal-wabbit packages. Build-Ids: 65dd85288c54f4388b02348e3924911836c5a400 766738b124b671137a61a3c45f061eb494e070a6 b76ac210bec07eed4ae5b6f3a72f8715470aa21c c13ff51c3ca18094137951fc52d667f4756641aa d5bf799f0a754c79e777af7696118ce987144d0a e71301901a929958d48b4df04f42aa76abf84a69 fd6e701263df9d8597387d78931ef47ae8f36467 fdd21c624f70ee6525b275e7b7bc7bb0050c6590 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26318 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd+1_all.deb Size: 18684128 SHA256: fad6f78f1e17d9d2390322d9e098a8fd3582493d95e92468cbfcd604255a7815 SHA1: 93eefcd4f9e65c2839e542eb8b54745de5fa613b MD5sum: 267b7fb7c9dbd2135cbb94eeeb8ed65c Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit. Package: voxbo Version: 1.8.5~svn1246-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9696 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libpng12-0 (>= 1.2.13-4), libqt4-network (>= 4:4.5.3), libqt4-qt3support (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0), libx11-6, libxext6, libxi6, libxrender1, zlib1g (>= 1:1.1.4) Suggests: mni-colin27-nifti, matlab-spm8 Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1246-1~nd+1_i386.deb Size: 3704722 SHA256: 1b83555dd860a6c8f91226596b5dee4b754abfaa3d06e86f308d07b58f2fe5dd SHA1: 2f7d6d96920560285b9300af6bae44fa589835fb MD5sum: d4b2ea047ade4ef198d847c988e05900 Description: processing, statistical analysis, and display of brain imaging data This is a toolkit for analysis of functional neuroimaging (chiefly fMRI) experiments and voxel-based lesion-behavior mapping. VoxBo supports the modified GLM (for autocorrelated data), as well as the standard GLM for non-autocorrelated data. The toolkit is designed to be interoperable with AFNI, FSL, SPM and others. Package: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 327 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd+1_i386.deb Size: 111144 SHA256: a8c8f46684986912e967d71a8903878772d02fc38bad17b434a4c707b58f7d91 SHA1: 323fcc8f7386a034a3afc18d339d710fc6506c83 MD5sum: 2f41fc579cb05048e207caf0cedbb012 Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4203 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1), vrpn (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd+1_i386.deb Size: 1635422 SHA256: e7edefd563d65b5daf9bf1f406010cbb7a1063e91c4151e3fdaa9f9104db0ac7 SHA1: 677889c91b5c68fff6bfcda125ee4f55100b05f5 MD5sum: 999cf2fa79db98deedfe0dce90ddb089 Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd+1_i386.deb Size: 73248 SHA256: d9174bcf24183c235ead3185cf9b31854d7a8f1bdf932b78bfef418e523df7c7 SHA1: 791a877f06db9a86991b2d908b1b31425ba93a81 MD5sum: 9d8af691ceb57f38d6523504acea5197 Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: vtk-doc Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 342007 Depends: neurodebian-popularity-contest, doc-base Suggests: libvtk5-dev, vtk-examples, vtkdata Homepage: http://www.vtk.org/ Priority: optional Section: doc Filename: pool/main/v/vtk/vtk-doc_5.8.0-7+b0~nd+1_all.deb Size: 66710216 SHA256: ef2921e37681f7364119b79457483cd3ca7da8cd063a96438cffe23aeba52938 SHA1: abc4b1ccf35fd6c0cc20f67836fb7ffcbfc69161 MD5sum: b7ef2d7972fe60ad7ce2f891faac4205 Description: VTK class reference documentation The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package contains exhaustive HTML documentation for the all the documented VTK C++ classes. The documentation was generated using doxygen and some excellent perl scripts from Sebastien Barre et. al. Please read the README.docs in /usr/share/doc/vtk-doc/ for details. The documentation is available under /usr/share/doc/vtk/html. Package: vtk-examples Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2521 Depends: neurodebian-popularity-contest Suggests: libvtk5-dev, tcl-vtk, python-vtk, vtk-doc, python, tclsh, libqt4-dev Homepage: http://www.vtk.org/ Priority: optional Section: graphics Filename: pool/main/v/vtk/vtk-examples_5.8.0-7+b0~nd+1_all.deb Size: 578892 SHA256: fab181213376a1077411077e48a5640af76ceb2868302e2e03b18e4e6a0859fd SHA1: e0087beef829cbfd4d09abfd52a4e526b2b11963 MD5sum: efe0f5b35bccb7b5f9d251a25970a0ac Description: C++, Tcl and Python example programs/scripts for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package contains examples from the VTK source. To compile the C++ examples you will need to install the vtk-dev package as well. Some of them require the libqt4-dev package. . The Python and Tcl examples can be run with the corresponding packages (python-vtk, tcl-vtk). Package: xmhtml1 Source: xmhtml Version: 1.1.7-17~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 473 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.7), libjpeg8 (>= 8c), libpng12-0 (>= 1.2.13-4), libxpm4 Priority: optional Section: libs Filename: pool/main/x/xmhtml/xmhtml1_1.1.7-17~nd+1_i386.deb Size: 249300 SHA256: 07785afb338a374fb104a9527e1366a51097dd84226d8760d0b3067352dcff5b SHA1: 351eadd08e356dad0994064856a33c2193eb0caa MD5sum: 7a2e0f81ebb88c853c646ec36907edbc Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This package provides the runtime shared library. The xmhtml-dev package provides the header files, and the static library. Package: xmhtml1-dev Source: xmhtml Version: 1.1.7-17~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 830 Depends: neurodebian-popularity-contest, xmhtml1, lesstif2-dev | libmotif-dev, libc6-dev Conflicts: xmhtml-dev Provides: xmhtml-dev Priority: optional Section: devel Filename: pool/main/x/xmhtml/xmhtml1-dev_1.1.7-17~nd+1_i386.deb Size: 341364 SHA256: 897521ec290e4a3fcdb3f4ab929d0db75a655bc7e49660a5080bf26ff5aa39a0 SHA1: e5e419a252e6d05507ca4a3e3b7bb710b99e93a2 MD5sum: 2a5ee19001f219e2304006a5786d3492 Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This is the development kit, containing static libraries and header files necessary to build programs that use xmhtml. The runtime library is provided by the xmhtml package. Package: xppaut Version: 6.11b+1.dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5804 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd+1_i386.deb Size: 4142698 SHA256: d00b855c27958720f61104c2defb4d7cc25fa945956753613b3ea2273bc22720 SHA1: cf1fc86aa5d60b9819297995cb0509e882620ee2 MD5sum: 635083e62d1bfb21f685de7833b1b93f Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, nfl.com (CURRENTLY BROKEN), nfl.com:article (CURRENTLY BROKEN), NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeon:br, nickelodeonru, nicknight, niconico, NiconicoPlaylist, Nintendo, njoy, njoy:embed, NJPWWorld, NobelPrize, NonkTube, Noovo, Normalboots, NosVideo, Nova, NovaEmbed, nowness, nowness:playlist, nowness:series, Noz, npo, npo.nl:live, npo.nl:radio, npo.nl:radio:fragment, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OktoberfestTV, OnDemandKorea, onet.pl, onet.tv, onet.tv:channel, OnetMVP, OnionStudios, Ooyala, OoyalaExternal, OraTV, orf:burgenland, orf:fm4, orf:fm4:story, orf:iptv, orf:kaernten, orf:noe, orf:oberoesterreich, orf:oe1, orf:oe3, orf:salzburg, orf:steiermark, orf:tirol, orf:tvthek, orf:vorarlberg, orf:wien, OsnatelTV, OutsideTV, PacktPub, PacktPubCourse, pandora.tv, ParamountNetwork, parliamentlive.tv, Patreon, pbs, PearVideo, PeerTube, People, PerformGroup, periscope, periscope:user, PhilharmonieDeParis, phoenix.de, Photobucket, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, Platzi, PlatziCourse, play.fm, player.sky.it, PlayPlusTV, PlaysTV, Playtvak, Playvid, Playwire, pluralsight, pluralsight:course, podomatic, Pokemon, PolskieRadio, PolskieRadioCategory, Popcorntimes, PopcornTV, PornCom, PornerBros, PornHd, PornHub, PornHubPagedVideoList, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTube, PressTV, prosiebensat1, puhutv, puhutv:serie, Puls4, Pyvideo, qqmusic, qqmusic:album, qqmusic:playlist, qqmusic:singer, qqmusic:toplist, QuantumTV, Qub, Quickline, QuicklineLive, R7, R7Article, radio.de, radiobremen, radiocanada, radiocanada:audiovideo, radiofrance, RadioJavan, Rai, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RayWenderlich, RayWenderlichCourse, RBMARadio, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedditR, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RICE, RMCDecouverte, RockstarGames, RoosterTeeth, RottenTomatoes, Roxwel, Rozhlas, RTBF, rte, rte:radio, rtl.nl, rtl2, rtl2:you, rtl2:you:series, Rtmp, RTP, RTS, rtve.es:alacarta, rtve.es:infantil, rtve.es:live, rtve.es:television, RTVNH, RTVS, RUHD, RumbleEmbed, rutube, rutube:channel, rutube:embed, rutube:movie, rutube:person, rutube:playlist, RUTV, Ruutu, Ruv, safari, safari:api, safari:course, SAKTV, SaltTV, Sapo, savefrom.net, SBS, schooltv, screen.yahoo:search, Screencast, ScreencastOMatic, ScrippsNetworks, scrippsnetworks:watch, SCTE, SCTECourse, Seeker, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, Shared, ShowRoomLive, Sina, sky.it, sky:news, sky:sports, sky:sports:news, skyacademy.it, SkylineWebcams, skynewsarabia:article, skynewsarabia:video, Slideshare, SlidesLive, Slutload, Snotr, Sohu, SonyLIV, soundcloud, soundcloud:playlist, soundcloud:search, soundcloud:set, soundcloud:trackstation, soundcloud:user, SoundcloudEmbed, soundgasm, soundgasm:profile, southpark.cc.com, southpark.cc.com:español, southpark.de, southpark.nl, southparkstudios.dk, SpankBang, SpankBangPlaylist, Spankwire, Spiegel, sport.francetvinfo.fr, Sport5, SportBox, SportDeutschland, spotify, spotify:show, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, sr:mediathek, SRGSSR, SRGSSRPlay, stanfordoc, Steam, Stitcher, StitcherShow, Streamable, streamcloud.eu, StreamCZ, StreetVoice, StretchInternet, stv:player, SunPorno, sverigesradio:episode, sverigesradio:publication, SVT, SVTPage, SVTPlay, SVTSeries, SWRMediathek, Syfy, SztvHu, t-online.de, Tagesschau, tagesschau:player, Tass, TBS, TDSLifeway, Teachable, TeachableCourse, teachertube, teachertube:user:collection, TeachingChannel, Teamcoco, TeamTreeHouse, TechTalks, techtv.mit.edu, ted, Tele13, Tele5, TeleBruxelles, Telecinco, Telegraaf, TeleMB, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, TennisTV, TenPlay, TestURL, TF1, TFO, TheIntercept, ThePlatform, ThePlatformFeed, TheScene, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisAV, ThisOldHouse, TikTok, TikTokUser (CURRENTLY BROKEN), tinypic, TMZ, TMZArticle, TNAFlix, TNAFlixNetworkEmbed, toggle, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict (CURRENTLY BROKEN), Trilulilu, Trovo, TrovoVod, TruNews, TruTV, Tube8, TubiTv, Tumblr, tunein:clip, tunein:program, tunein:shortener, tunein:station, tunein:topic, TunePk, Turbo, tv.dfb.de, TV2, tv2.hu, TV2Article, TV2DK, TV2DKBornholmPlay, TV4, TV5MondePlus, tv5unis, tv5unis:video, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, tvland.com, TVN24, TVNet, TVNoe, TVNow, TVNowAnnual, TVNowNew, TVNowSeason, TVNowShow, tvp, tvp:embed, tvp:series, TVPlayer, TVPlayHome, Tweakers, TwitCasting, twitch:clips, twitch:stream, twitch:vod, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, twitter:amplify, twitter:broadcast, twitter:card, udemy, udemy:course, UDNEmbed, UFCArabia, UFCTV, UKTVPlay, umg:de, UnicodeBOM, Unistra, Unity, uol.com.br, uplynk, uplynk:preplay, Urort, URPlay, USANetwork, USAToday, ustream, ustream:channel, ustudio, ustudio:embed, Varzesh3, Vbox7, VeeHD, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vhx:embed, Viafree, vice, vice:article, vice:show, Vidbit, Viddler, Videa, video.google:search, video.sky.it, video.sky.it:live, VideoDetective, videofy.me, videomore, videomore:season, videomore:video, VideoPress, Vidio, VidLii, vidme, vidme:user, vidme:user:likes, vier, vier:videos, viewlift, viewlift:embed, Viidea, viki, viki:channel, vimeo, vimeo:album, vimeo:channel, vimeo:group, vimeo:likes, vimeo:ondemand, vimeo:review, vimeo:user, vimeo:watchlater, Vimple, Vine, vine:user, Viqeo, Viu, viu:ott, viu:playlist, Vivo, vk, vk:uservideos, vk:wallpost, vlive, vlive:channel, vlive:post, Vodlocker, VODPl, VODPlatform, VoiceRepublic, Voot, VoxMedia, VoxMediaVolume, vpro, Vrak, VRT, VrtNU, vrv, vrv:series, VShare, VTM, VTXTV, vube, VuClip, VVVVID, VVVVIDShow, VyboryMos, Vzaar, Wakanim, Walla, WalyTV, washingtonpost, washingtonpost:article, wat.tv, WatchBox, WatchIndianPorn, WDR, wdr:mobile, WDRElefant, WDRPage, Webcaster, WebcasterFeed, WebOfStories, WebOfStoriesPlaylist, Weibo, WeiboMobile, WeiqiTV, Wistia, WistiaPlaylist, wnl, WorldStarHipHop, WSJ, WSJArticle, WWE, XBef, XboxClips, XFileShare, XHamster, XHamsterEmbed, XHamsterUser, xiami:album, xiami:artist, xiami:collection, xiami:song, ximalaya, ximalaya:album, XMinus, XNXX, Xstream, XTube, XTubeUser, Xuite, XVideos, XXXYMovies, Yahoo, yahoo:gyao, yahoo:gyao:player, yahoo:japannews, YandexDisk, yandexmusic:album, yandexmusic:artist:albums, yandexmusic:artist:tracks, yandexmusic:playlist, yandexmusic:track, YandexVideo, YapFiles, YesJapan, yinyuetai:video, Ynet, YouJizz, youku, youku:show, YouNowChannel, YouNowLive, YouNowMoment, YouPorn, YourPorn, YourUpload, youtube, youtube:favorites, youtube:history, youtube:playlist, youtube:recommended, youtube:search, youtube:search:date, youtube:subscriptions, youtube:tab, youtube:truncated_id, youtube:truncated_url, youtube:watchlater, YoutubeYtBe, YoutubeYtUser, Zapiks, Zattoo, ZattooLive, ZDF, ZDFChannel, zingmp3, Zype Package: yt-dlp Version: 2023.12.30-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9977 Depends: neurodebian-popularity-contest, python3-brotli, python3-certifi, python3-mutagen, python3-pycryptodome, python3-requests, python3-urllib3, python3-websockets, python3:any, python3-pkg-resources Recommends: aria2 | wget | curl, ca-certificates, ffmpeg Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://github.com/yt-dlp/yt-dlp Priority: optional Section: web Filename: pool/main/y/yt-dlp/yt-dlp_2023.12.30-1~nd+1_all.deb Size: 1851336 SHA256: 6547f003c96cbfdaa7c211d8e70845232ee7f6e5f0bce91a926c63b72679e82a SHA1: ed54738c298204cdfeb1a10a81b530ed39147d5b MD5sum: 68a52e418a6fc285ea1b81ecd8401361 Description: downloader of videos from YouTube and other sites yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project. . yt-dlp is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . yt-dlp allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 17live, 1News, 1tv, 20min, 23video, 247sports, 24tv.ua, 3qsdn, 3sat, 4tube, 56.com, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abcnews, abcotvs, AbemaTV, AbemaTVTitle, acast, AcFunBangumi, AcFunVideo, ADN, AdobeConnect, adobetv, AdultSwim, aenetworks, AeonCo, afreecatv, AirTV, AitubeKZVideo, AliExpressLive, AlJazeera, Allocine, Allstar, AllstarProfile, AlphaPorno, Alsace20TV, Alsace20TVEmbed, altcensored, Alura, AluraCourse, Amara, AmazonMiniTV, AmazonReviews, AmazonStore, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, AmHistoryChannel, AnchorFMEpisode, anderetijden, Angel, AnimalPlanet, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, archive.org, ArcPublishing, ARD, ARDMediathek, ARDMediathekCollection, Arkena, arte.sky.it, ArteTV, ArteTVCategory, ArteTVEmbed, ArteTVPlaylist, AtresPlayer, AtScaleConfEvent, ATVAt, AudiMedia, AudioBoom, audiomack, Audius, AWAAN, axs.tv, AZMedien, BaiduVideo, BanBye, BanByeChannel, bandaichannel, Bandcamp, BannedVideo, bbc, bbc.co.uk, BBVTV, BBVTVLive, BBVTVRecordings, BeatBumpPlaylist, BeatBumpVideo, Beatport, Beeg, BehindKink, Bellator, BellMedia, BerufeTV, Bet, bfmtv, Bigflix, Bigo, Bild, BiliBili, Bilibili category extractor, BilibiliAudio, BilibiliAudioAlbum, BiliBiliBangumi, BiliBiliBangumiMedia, BiliBiliBangumiSeason, BilibiliCheese, BilibiliCheeseSeason, BilibiliCollectionList, BilibiliFavoritesList, BiliBiliPlayer, BilibiliPlaylist, BiliBiliSearch, BilibiliSeriesList, BilibiliSpaceAudio, BilibiliSpaceVideo, BilibiliWatchlater, BiliIntl, BiliLive, BioBioChileTV, Biography, BitChute, BitChuteChannel, BlackboardCollaborate, BleacherReport, BleacherReportCMS, blerp, blogger.com, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, BoxCastVideo, Bpb, BR, BrainPOP, BrainPOPELL, BrainPOPEsp, BrainPOPFr, BrainPOPIl, BrainPOPJr, BravoTV, BreitBart, Bundesliga, Bundestag, BusinessInsider, BuzzFeed, BYUtv, CableAV, Callin, Caltrans, CAM4, Camdemy, CamdemyFolder, CamFMEpisode, CamFMShow, CamModels, Camsoda, CamtasiaEmbed, Canal1, CanalAlpha, canalc2.tv, Canalplus, CaracolTvPlay, CartoonNetwork, cbc.ca, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, CBSLocalLive, cbsnews, cbssports, CCMA, CCTV, CDA, Cellebrite, CeskaTelevize, CGTN, CharlieRose, Chaturbate, Chilloutzone, Chingari, ChingariUser, cielotv.it, Cinemax, CinetecaMilano, Cineverse, CineverseDetails, CiscoLiveSearch, CiscoLiveSession, ciscowebex, CJSW, Clipchamp, cliphunter, Clippit, ClipRs, ClipYouEmbed, CloserToTruth, CloudflareStream, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, CNNIndonesia, ComedyCentral, ComedyCentralTV, ConanClassic, CondeNast, CONtv, CookingChannel, Corus, Coub, CozyTV, cp24, cpac, Cracked, Crackle, Craftsy, CrooksAndLiars, CrowdBunker, CrowdBunkerChannel, Crtvg, crunchyroll, CSpan, CSpanCongress, CtsNews, CTV, CTVNews, cu.ntv.co.jp, CultureUnplugged, curiositystream, CWTV, Cybrary, CybraryCourse, DacastPlaylist, DacastVOD, DagelijkseKost, DailyMail, dailymotion, DailyWire, DailyWirePodcast, daum.net, DBTV, DctpTv, DeezerAlbum, DeezerPlaylist, democracynow, DestinationAmerica, DetikEmbed, DeuxM, DeuxMNews, DHM, Digg, DigitalConcertHall, DigitallySpeaking, Digiteka, DiscogsReleasePlaylist, Discovery, DiscoveryLife, DiscoveryNetworksDe, DiscoveryPlus, DiscoveryPlusIndia, DiscoveryPlusIndiaShow, DiscoveryPlusItaly, DiscoveryPlusItalyShow, Disney, DIYNetwork, dlf, Douyin, DouyuShow, DouyuTV, DPlay, DRBonanza, Drooble, Dropbox, Dropout, DropoutSeason, DrTuber, drtv, DTube, duboku, Dumpert, Duoplay, dvtv, dw, EaglePlatform, EbaumsWorld, Ebay, EinsUndEinsTV, EinsUndEinsTVLive, EinsUndEinsTVRecordings, Einthusan, eitb.tv, Elonet, ElPais, ElTreceTV, Embedly, EMPFlix, Epicon, EpiconSeries, EpidemicSound, eplus, Epoch, Eporner, Erocast, EroProfile, ertflix, ESPN, ESPNArticle, ESPNCricInfo, EttuTv, Europa, EuroParlWebstream, EuropeanTour, Eurosport, EUScreen, EWETV, EWETVLive, EWETVRecordings, Expressen, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, Fczenit, Fifa, Filmmodu, filmon, Filmweb, FiveThirtyEight, FiveTV, Flickr, Floatplane, FloatplaneChannel, Folketinget, FoodNetwork, FootyRoom, Formula1, FOX, FOX9, FOX9News, foxnews, FoxNewsVideo, FoxSports, fptplay, FranceCulture, FranceInter, FranceTV, francetvinfo.fr, FranceTVSite, Freesound, freespeech.org, FreeTvMovies, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Funker530, Fux, FuyinTV, Gab, GabTV, Gaia, GameInformer, GameJolt, GameJoltCommunity, GameJoltGame, GameJoltGameSoundtrack, GameJoltSearch, GameJoltUser, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, GediDigital, gem.cbc.ca, generic, Genius, GeniusLyrics, Gettr, GettrStreaming, GiantBomb, Giga, GlattvisionTV, GlattvisionTVLive, GlattvisionTVRecordings, Glide, GlobalCyclingNetworkPlus, GlobalPlayerAudio, GlobalPlayerAudioEpisode, GlobalPlayerLive, GlobalPlayerLivePlaylist, GlobalPlayerVideo, Globo, GloboArticle, glomex, GMANetworkVideo, Go, GoDiscovery, GodTube, Gofile, Golem, GoogleDrive, GoPlay, GoPro, Goshgay, GoToStage, GPUTechConf, Gronkh, Groupon, Harpodeon, hbo, HearThisAt, Heise, HellPorno, hetklokhuis, HGTVDe, HGTVUsa, HiDive, HistoricFilms, HitRecord, hketv, HollywoodReporter, HollywoodReporterPlaylist, Holodex, HotNewHipHop, hotstar, hrfernsehen, HRTi, HRTiPlaylist, HSEProduct, HSEShow, html5, Huajiao, HuffPost, Hungama, HungamaAlbumPlaylist, HungamaSong, Hypem, Hytale, Icareus, IdolPlus, IflixSeries, ign.com, IGNArticle, IGNVideo, iheartradio, Iltalehti, imdb, Imgur, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, InstagramIOS, Internazionale, InternetVideoArchive, InvestigationDiscovery, IPrima, IPrimaCNN, iq.com, iqiyi, IslamChannel, IslamChannelSeries, IsraelNationalNews, ITProTV, ITProTVCourse, ITV, ITVBTCC, ivi, ivideon, IVXPlayer, iwara, Ixigua, Izlesene, Jable, JablePlaylist, Jamendo, JamendoAlbum, JeuxVideo, JioSaavnAlbum, JioSaavnSong, Joj, JoqrAg, Jove, JStream, JTBC, JWPlatform, Kakao, Kaltura, Kanal2, KankaNews, Karaoketv, KarriereVideos, Katsomo, KelbyOne, Ketnet, khanacademy, Kick, Kicker, KickStarter, KickVOD, KinoPoisk, Kommunetv, KompasVideo, KonserthusetPlay, Koo, KrasView, KTH, Ku6, KUSI, la7.it, LastFM, LastFMPlaylist, LastFMUser, LaXarxaMes, lbry, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LeFigaroVideoEmbed, LeFigaroVideoSection, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, likee, limelight, LinkedIn, Liputan6, ListenNotes, LiTV, LiveJournal, livestream, Livestreamfails, Lnk, LnkGo, loc, LocalNews8, LoveHomePorn, LRTStream, LRTVOD, Lumni, lynda, maariv.co.il, MagellanTV, MagentaMusik360, mailru, MainStreaming, MallTV, MangoTV, ManotoTV, ManotoTVLive, ManotoTVShow, ManyVids, MaoriTV, Markiza, MarkizaPage, massengeschmack.tv, Masters, MatchTV, MBN, MDR, MedalTV, media.ccc.de, Mediaite, MediaKlikk, Medialaan, Mediaset, MediasetShow, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, MediaStream, MediaWorksNZVOD, Medici, megaphone.fm, megatvcom, Meipai, MelonVOD, Metacritic, mewatch, MiaoPai, MicrosoftEmbed, microsoftstream, mildom, minds, MinistryGrid, Minoto, mirrativ, MirrorCoUK, MiTele, mixch, mixcloud, MLB, MLBArticle, MLBTV, MLBVideo, MLSSoccer, MNetTV, MNetTVLive, MNetTVRecordings, MochaVideo, Mojvideo, Monstercat, MonsterSirenHypergryphMusic, Morningstar, Motherless, MotherlessGallery, MotherlessGroup, Motorsport, MotorTrend, MotorTrendOnDemand, MovieFap, Moviepilot, MoviewPlay, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv.it, mtvjapan, MTVUutisetArticle, MuenchenTV, MujRozhlas, Murrtube, MurrtubeUser, MuseAI, MuseScore, MusicdexAlbum, MusicdexArtist, MusicdexPlaylist, MusicdexSong, mva, Mxplayer, MxplayerShow, MySpace, MySpass, MyVideoGe, MyVidster, Mzaalo, n-tv.de, N1InfoAsset, Nate, NateProgram, NationalGeographicTV, Naver, navernow, nba, NBC, NBCNews, nbcolympics, NBCSports, NBCSportsStream, NBCSportsVPlayer, NBCStations, ndr, NDTV, Nebula, NekoHacker, NerdCubedFeed, NetPlusTV, NetPlusTVLive, NetPlusTVRecordings, Netverse, NetversePlaylist, NetverseSearch, Netzkino, Newgrounds, NewsPicks, Newsy, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, NFB, NFHSNetwork, nfl.com, NhkForSchoolBangumi, NhkForSchoolProgramList, NhkForSchoolSubject, NhkRadioNewsPage, NhkRadiru, NhkRadiruLive, NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeonru, niconico, NiconicoChannelPlus, NiconicoUser, Nintendo, Nitter, njoy, NobelPrize, NoicePodcast, NonkTube, NoodleMagazine, Noovo, NOSNLArticle, Nova, NovaEmbed, NovaPlay, nowness, Noz, npo, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, NubilesPorn, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, nzherald, NZOnScreen, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OfTV, OfTVPlaylist, OktoberfestTV, OlympicsReplay, on24, OnDemandChinaEpisode, OnDemandKorea, OnDemandKoreaProgram, OneFootball, OnePlacePodcast, onet.pl, onet.tv, OnetMVP, OnionStudios, Opencast, OpencastPlaylist, openrec, OraTV, OsnatelTV, OsnatelTVLive, OsnatelTVRecordings, OutsideTV, OwnCloud, PacktPub, PacktPubCourse, Panopto, PanoptoList, PanoptoPlaylist, ParamountNetwork, ParamountPlus, ParamountPlusSeries, ParamountPressExpress, Parler, parliamentlive.tv, Parlview, Patreon, PatreonCampaign, pbs, PBSKids, PearVideo, PeekVids, peer.tv, PeerTube, peloton, PerformGroup, periscope, PGATour, PhilharmonieDeParis, phoenix.de, Photobucket, Piapro, PIAULIZAPortal, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, PlanetMarathi, Platzi, PlatziCourse, player.sky.it, PlayPlusTV, PlayStuff, PlaySuisse, Playtvak, PlayVids, Playwire, pluralsight, PlutoTV, PodbayFM, PodbayFMChannel, Podchaser, podomatic, Pokemon, PokemonWatch, PokerGo, PokerGoCollection, PolsatGo, PolskieRadio, Popcorntimes, PopcornTV, Pornbox, PornerBros, PornFlip, PornHub, PornHubPagedVideoList, PornHubPlaylist, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTop, PornTube, Pr0gramm, PrankCast, PremiershipRugby, PressTV, ProjectVeritas, prosiebensat1, PRXAccount, PRXSeries, PRXStory, puhutv, Puls4, Pyvideo, QDance, QingTing, qqmusic, QuantumTV, QuantumTVLive, QuantumTVRecordings, Qub, R7, R7Article, Radiko, RadikoRadio, radio.de, radiocanada, RadioComercial, RadioComercialPlaylist, radiofrance, RadioFranceLive, RadioFrancePodcast, RadioFranceProfile, RadioFranceProgramSchedule, RadioJavan, radiokapital, RadioZetPodcast, radlive, Rai, RaiCultura, RaiNews, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RaiPlaySound, RaiPlaySoundLive, RaiPlaySoundPlaylist, RaiSudtirol, RayWenderlich, RayWenderlichCourse, RbgTum, RbgTumCourse, RbgTumNewCourse, RBMARadio, RCS, RCSEmbeds, RCSVarious, RCTIPlus, RCTIPlusSeries, RCTIPlusTV, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedGifs, RedGifsSearch, RedGifsUser, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RheinMainTV, RinseFM, RMCDecouverte, RockstarGames, Rokfin, RoosterTeeth, RoosterTeethSeries, RottenTomatoes, Rozhlas, RozhlasVltava, RTBF, RTDocumentry, RTDocumentryPlaylist, rte, rtl.nl, rtl2, RTLLuLive, RTLLuRadio, RTNews, RTP, RTRFM, RTS, RTVCKaltura, RTVCPlay, RTVCPlayEmbed, RTVS, rtvslo.si, RudoVideo, Rule34Video, Rumble, RumbleChannel, RumbleEmbed, Ruptly, rutube, RUTV, Ruutu, Ruv, S4C, S4CSeries, safari, Saitosan, SAKTV, SAKTVLive, SAKTVRecordings, SaltTV, SaltTVLive, SaltTVRecordings, SampleFocus, Sangiin, Sapo, savefrom.net, SBS, sbs.co.kr, schooltv, ScienceChannel, Screen9, Screencast, Screencastify, ScreencastOMatic, ScrippsNetworks, Scrolller, SCTE, SCTECourse, Seeker, SenalColombiaLive, SenateGov, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, ShareVideosEmbed, ShemarooMe, ShowRoomLive, ShugiinItvLive, ShugiinItvLiveRoom, ShugiinItvVod, SibnetEmbed, simplecast, Sina, Skeb, sky.it, SkylineWebcams, SkyNewsAU, Slideshare, SlidesLive, Slutload, Smotrim, Snotr, Sohu, SohuV, SonyLIV, SonyLIVSeries, soundcloud, SoundcloudEmbed, soundgasm, southpark.cc.com, southpark.de, southpark.lat, southpark.nl, southparkstudios.dk, SovietsCloset, SovietsClosetPlaylist, SpankBang, SpankBangPlaylist, Spiegel, Sport5, SportBox, SportDeutschland, spotify, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, SRGSSR, SRGSSRPlay, StacommuLive, StacommuVOD, StagePlusVODConcert, stanfordoc, StarTrek, startv, Steam, SteamCommunityBroadcast, Stitcher, StitcherShow, StoryFire, StoryFireSeries, StoryFireUser, Streamable, StreamCZ, StreamFF, StreetVoice, StretchInternet, Stripchat, Substack, SunPorno, SVT, SVTPage, SVTPlay, SVTSeries, SwearnetEpisode, Syfy, SYVDK, SztvHu, t-online.de, Tagesschau, Tass, TBS, TBSJPEpisode, TBSJPPlaylist, TBSJPProgram, TDSLifeway, Teachable, TeachableCourse, teachertube, TeachingChannel, Teamcoco, TeamTreeHouse, techtv.mit.edu, TedEmbed, TedPlaylist, TedSeries, TedTalk, Tele13, Tele5, TeleBruxelles, TelecaribePlay, Telecinco, Telegraaf, TeleMB, Telemundo, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, Tempo, TennisTV, TenPlay, TenPlaySeason, TF1, TFO, TheGuardianPodcast, TheGuardianPodcastPlaylist, TheHoleTv, TheIntercept, ThePlatform, ThePlatformFeed, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisOldHouse, ThisVid, ThisVidMember, ThisVidPlaylist, ThreeSpeak, ThreeSpeakUser, TikTok, TLC, TMZ, TNAFlix, TNAFlixNetworkEmbed, toggle, toggo, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict, TravelChannel, Triller, TrillerShort, TrillerUser, Trovo, TrovoChannelClip, TrovoChannelVod, TrovoVod, TrtCocukVideo, TrueID, TruNews, Truth, TruTV, Tube8, TubeTuGraz, TubeTuGrazSeries, TubiTv, TubiTvShow, Tumblr, TuneInPodcast, TuneInPodcastEpisode, TuneInStation, Turbo, tv.dfb.de, TV2, TV2Article, TV2DK, TV2DKBornholmPlay, tv2play.hu, tv2playseries.hu, TV4, TV5MondePlus, tv5unis, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, TVIPlayer, tvland.com, TVN24, TVNoe, tvp, TVPlayer, TVPlayHome, Tweakers, TwitCasting, TwitCastingLive, TwitCastingUser, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, Txxx, udemy, UDNEmbed, UFCArabia, UFCTV, ukcolumn, UKTVPlay, Unistra, Unity, uol.com.br, uplynk, Urort, URPlay, USANetwork, USAToday, ustream, ustudio, Utreon, Varzesh3, Vbox7, Veo, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vice, Viddler, Videa, video.arnes.si, video.sky.it, VideoDetective, videofy.me, VideoKen, VideoKenCategory, VideoKenPlayer, VideoKenPlaylist, VideoKenTopic, videomore, VideoPress, Vidio, VidioLive, VidioPremier, VidLii, Vidly, viewlift, Viidea, viki, vimeo, ViMP, Vine, Viqeo, Viu, ViuOTTIndonesia, vk, VKPlay, VKPlayLive, vm.tiktok, Vocaroo, VODPl, VODPlatform, voicy, VolejTV, Voot, VootSeries, VoxMedia, VoxMediaVolume, vpro, VRT, 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