Package: bats Version: 1.1.0+git104-g1c83a1b-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.1.0+git104-g1c83a1b-1~nd19.04+1_all.deb Size: 21084 SHA256: 87c62110d9e78af12e1c79376937292406a39c29cbe515971ecdd9047c52d038 SHA1: 426ec27a413ceda02d64bb47231f4510d4b41cb9 MD5sum: a6be1021fdb8b9acb941fa95ad31f79f 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: btrbk Version: 0.29.1-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 362 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 4.12) Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.29.1-1~nd19.04+1_all.deb Size: 97252 SHA256: 20469f41f591a1bf115537e8e3723261f65c7e0a33a34e2c60a26755aee80a80 SHA1: 40846a7c6c5b12bc51f45d879e7d97979bd44084 MD5sum: 5710acf81b048464777aadd74c6fa623 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: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), libstdc++6 (>= 5.2) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 18528 SHA256: c3beaa974570b109bb618dd76861772c70911f169f42bf69e6be197c7cbe62fb SHA1: dbfbbd999b0ee9714cbb15c54f85e858a73b9dc5 MD5sum: 520dfc094e4fe8c103267fb2e5153ae3 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: connectome-workbench Version: 1.4.2-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 50609 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.2.0) | libqt5gui5-gles (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.12.2), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), 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_1.4.2-1~nd19.04+1_amd64.deb Size: 21314488 SHA256: 94e6ea84a38872e9b12428f49cae1437d0d642356abe7f37cac13e34c18d8d26 SHA1: e75ff83cc702446b2f022fc33704c8b2942f5ab1 MD5sum: 127340a24f0b20135c60b6e0f89c01d7 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: 1.4.2-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 267127 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.4.2-1~nd19.04+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.4.2-1~nd19.04+1_amd64.deb Size: 264389564 SHA256: 46d98993ea4f98c99257dce752c22f1437c820a53a43b8e68537ce5b533f24fb SHA1: db1bfe94245d4e25d28b486c63e6991adf59fe21 MD5sum: f8d19f57a7bc212b3f89b3568d375f75 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: 2097cbba606c4dc7a30b8790c16c264ceef484fa cac0e2b93c3ae70c26c4da08347dea5523167e90 Package: convert3d Version: 0.0.20190204-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64141 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.8, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.8.0) | libqt5gui5-gles (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 5.2) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd19.04+1_amd64.deb Size: 9904220 SHA256: 3d45b1a9962d1335b0181043b66e21901afd048e8f01e672573dc96c44d5453a SHA1: f00a4d88335e1718f7f397ae38453369be649789 MD5sum: 6b3bd72c3ecfec26a82ffdc6d5e2e275 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: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 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) Package: datalad-container Version: 1.0.0-2~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: neurodebian-popularity-contest, datalad (>= 0.12~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3-mock, 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_1.0.0-2~nd19.04+1_all.deb Size: 20784 SHA256: 4c088e1b490715b948014a57e15eeae48d2cd15520c6843deace96cf1d5e9a0a SHA1: 54000465332f648ac3cdb71506b74fa91d237bd1 MD5sum: 8620e5b573a3e03ac54c05401281f4fd Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20200331-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 803 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20200331-1~nd19.04+1_amd64.deb Size: 203376 SHA256: 7f761c95407a450204fc909d979e22d22ae03f4bdd5e0fb316d1066c96bd9026 SHA1: cfa621e2d50de4bc27e96af3df515a49db433303 MD5sum: c2eb6a775d6b2546b0ae020af8a467c2 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: dmtcp Version: 2.6.0-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3035 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.6.0-1~nd19.04+1_amd64.deb Size: 708352 SHA256: d84474a7f8e22d79dd41583c7710e6544d23bf2b9730041312fbde653e491078 SHA1: 07aa93fa8857534eaf4f259ce6235400ae585684 MD5sum: 9a86bed62cf4427fd6ce9d42afd9e4c0 Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.6.0-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12069 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: optional Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.6.0-1~nd19.04+1_amd64.deb Size: 11538348 SHA256: fc147f5d25bae4aa6da683bee70e6c308affd80cccc5f659d10177112b54df62 SHA1: 77a1e67dcba0b2542e55d26b59afce9b59c8b232 MD5sum: 2eec34c858b8924866c848655c789c4e Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains debugging symbols for DMTCP. 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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: fsleyes Version: 0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 242045 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-indexed-gzip, python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 28081232 SHA256: 0aeb45fabb11ed15c902d4b01781f518bdfc47f0fc10234cd7b2c97da55ef2bd SHA1: 74d95c498230ce155f625b408234c530486842e2 MD5sum: e4e8c920444d5c1056d1c1553b12cc38 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.14), 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~nd19.04+1_amd64.deb Size: 33848 SHA256: 203d50b3d943701c4ffa171c1b4c88ddc6fe5bd275cfb3cabcb9e776b1da73f4 SHA1: a040b2360ed37a9a3fb1c16d8401aa9df37306a5 MD5sum: f43a9ddf9a82299737b900c3427c4742 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: git Version: 1:2.24.0-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 40243 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~nd19.04+1_amd64.deb Size: 6190816 SHA256: 2d5375e02e6f2d2a28664056954cc54534c01cbcdc31ff13bb0c8cc1e4cdc4ac SHA1: 53984cf70759e8939095d48d4b8f50166da4a7d5 MD5sum: c88632561689175fcf2e3da024ead5c4 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~nd19.04+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~nd19.04+1_all.deb Size: 834264 SHA256: 4fc5c1aadba8d4761ebc3e3bcb0a0ad30c1e02aa4a84a4b98be0dea42b678a1d SHA1: bd9bc43561c39edc26461695e8f04fd2d981e18c MD5sum: 619fb7f8ff0e70d1e13e9f7718df6b7c 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-remote-rclone Version: 0.6-1~nd19.04+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_0.6-1~nd19.04+1_all.deb Size: 8188 SHA256: 8c6ee9a7af3d29fa67bedd633d0e7800ab559070fee653a66dd8f7c86970c44e SHA1: d39903496efc89919012950e83907b8ba1acf4df MD5sum: 0163b00f5095b3fa68f05c332a8ede71 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: amd64 Maintainer: Richard Hartmann Installed-Size: 166312 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_amd64.deb Size: 53000596 SHA256: 8080805f2216a629460f3b65242f5562fd0f1ac34403ca0713bb0a1e132ea172 SHA1: 01eba33bc328a2698a427d7006259343f31b4a5a MD5sum: b572f29657b3bba8053a3ec047ec2ed5 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~nd19.04+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~nd19.04+1_all.deb Size: 897248 SHA256: 3c57f3097c597408ba91e82f4046d850a8d4018ca8a8f28884d7a1dce829edb8 SHA1: ddc819676df496667104608182af5b7cb7dd78da MD5sum: 041c01708751bdbbbc510059640b7fe8 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~nd19.04+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~nd19.04+1_all.deb Size: 835888 SHA256: 7ab70a6cdfdc28a5ff22096f14ce79b1c5d05f616b95e37417564672a551364f SHA1: f13cc025958827b9fd70a21fd10b1494ce843734 MD5sum: 1c0b1005bf0e49aaa095336e7950c0b2 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~nd19.04+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~nd19.04+1_all.deb Size: 836940 SHA256: 8a31104d9f8bac5650a5d36e53897ed61263ef928bd0ecde0af0db791f0ca483 SHA1: 0bb7d3c33247419039134f0dbfcf90eadd361233 MD5sum: a64f6dad19364b4491b56a04719fd713 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-doc Source: git Version: 1:2.24.0-1~nd19.04+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~nd19.04+1_all.deb Size: 1837124 SHA256: 1bac28085d0c3c3b943169eb1c1934c3ac98cd18ef5e0266bf3bc8c905c5af71 SHA1: b43046ea8719922ba596e9fcf9df3b510098be24 MD5sum: ac516683c7038c80796f0626dbc03574 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~nd19.04+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~nd19.04+1_all.deb Size: 836652 SHA256: c72489135c65f346ee7e7747ca0e0219edec05ebc6fb64fc4546e8a78da72c66 SHA1: f7df2cd8f70a0de4edc9c0a28590b2e791ccb1f8 MD5sum: b8f1a49c57c6a94e0dee5a0cfa0a25ed 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~nd19.04+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~nd19.04+1_all.deb Size: 859544 SHA256: 02701a3b388e3e3df9368d4bd47de8035d6a00ebe6e2839f7f124151927f5afd SHA1: f3025a0ddd50fa7c14d7f033d1ad24960b65956b MD5sum: 765a0313d879a2c5f8688d7902db0347 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~nd19.04+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~nd19.04+1_all.deb Size: 1044540 SHA256: ac88b4e109d4402478b2e56f38b5d7532cfa4acadec96f9202cb4b6f4925287c SHA1: 10bebe8c3106c6f4cae438e7b642a3126b7b732c MD5sum: e7bceeea5a63c6516015dbad528c4be5 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-man Source: git Version: 1:2.24.0-1~nd19.04+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~nd19.04+1_all.deb Size: 1695080 SHA256: 1e8ad9521c32e9833ecc815a56cc8f6abd195ba2a7d1e4f6d03d3de3151b3e3d SHA1: 59288aa864f6d56fc79381994cfaef305050a223 MD5sum: 05ed489ec7ca33d58448c4474a2d209d 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~nd19.04+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~nd19.04+1_all.deb Size: 850240 SHA256: 298e858c6488412f403b964bf1cc3acc90d8b904e29a1f04035ae46a43ea6182 SHA1: d93b6538aa89defa554fd2487d40c62e1b064892 MD5sum: e3163055dbd77e9d1e0273d58eb20053 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~nd19.04+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~nd19.04+1_all.deb Size: 909448 SHA256: 75fa0c81ab1c1db623b70651aba229ac3d80d2f1e49fc84d744c79cd551b0e23 SHA1: a27702d541dd431d6a9158da5c51cd44af9de9ee MD5sum: aa0e17e5e894477264063438e8bc1a7a 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~nd19.04+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~nd19.04+1_all.deb Size: 969448 SHA256: 215f9dc06b44303f3dcc74fe212446d82b92e2623f5fb95eae84f424ef04a83f SHA1: 57eee1ccdbc4bb555645dcf2d243bb2deebac79f MD5sum: ae5308501a2dc9a085af6c3ed9186ef8 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~nd19.04+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~nd19.04+1_all.deb Size: 838532 SHA256: 59bc69bc08587a058cacab55f97c75f7a9f1a489220608b34374c8c6caffc98b SHA1: 1ec23bad01a69f22d70cc603a2ac28fab64cd2d9 MD5sum: 5e0fe573581bdb6fd9ba2eac8ebe3392 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: 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: heudiconv Version: 0.6.0-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 937 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-filelock, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.6.0-1~nd19.04+1_all.deb Size: 253800 SHA256: c68939490868b50825e04d2cc3267c1d2ec544587ea4c278d5c6acd890ced863 SHA1: f00ded43e589d4d01169d9248cbfd5a677597489 MD5sum: fcc8d04494a743beae38391b0eb70a81 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: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 297 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 83084 SHA256: 32ae83b096f17c0628fcf5595e5e4f7d998bae0bff8e6bdc5542b6494115c56e SHA1: be91c17707fa74c33a8fbcc73d14cd2a27f05c8d MD5sum: 16cab60d12ed911a4cf40232d70acc89 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-dev Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 21712 SHA256: 493782e901b09269bca4a3a30248a80a38621025f551e6a0b97972cea894a871 SHA1: 9a6757e4064f0ce985e36ee6fcf935ab523a8a92 MD5sum: 875b5df9175ee2ddedb71a3f5c97a3a4 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: libexempi-dev Source: exempi Version: 2.4.1-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4320 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd19.04+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~nd19.04+1_amd64.deb Size: 675024 SHA256: 01d8bf2b3b479a1cc2e5b566839220e030c1c14eb1116797125ed45d0aa7041a SHA1: 4173fe918adf5dfba67ee43672deaaa4cdaffb2f MD5sum: db8138f5d90302695786ac93e1e632aa 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1660 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), 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~nd19.04+1_amd64.deb Size: 539900 SHA256: 4ba2b7c5d26f27ae674c2230cdbbfb691a4c992463ab04ae6f401e217ccd89fe SHA1: d4c567d85bf0a6041214616c4cd24b737c5a7515 MD5sum: 6a58bdde314f2af652c302d09ab32d90 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: libgdf-dev Source: libgdf Version: 0.1.3-3~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd19.04+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd19.04+1_amd64.deb Size: 20720 SHA256: 551cb4361d5f77ae51f92d30636cf7cf852b27b9eb8e8a12a6c3de764e6fc117 SHA1: 6e4e7967febc7fdda3254c93a2b847db940db61a MD5sum: 7207e942f3afd50774463375c4789ac5 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd19.04+1_amd64.deb Size: 94740 SHA256: 21c7949f09a942350b1c4ab52100af98ad10b49b1c3116d4dc0b7d675846207d SHA1: 774e325f39958c19953bd952e54e5a41051312e7 MD5sum: 30aefac38d7dd2f0baafe6802ad94981 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: libghc-filepath-bytestring-dev Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 903 Depends: neurodebian-popularity-contest, libghc-base-dev-4.11.1.0-5dd74, libghc-bytestring-dev-0.10.8.2-76891, libghc-unix-dev-2.7.2.2-fe53d, libatomic1 (>= 4.8), libc6 (>= 2.14), libgmp10 Suggests: libghc-filepath-bytestring-doc, libghc-filepath-bytestring-prof Provides: libghc-filepath-bytestring-dev-1.4.2.1.6-f8fcf 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~nd19.04+1_amd64.deb Size: 105420 SHA256: 9c99a1c486a3f256ec0da727c3983d76c714de4fe801ded9d01ac146200f94b0 SHA1: bb535c5d69c677093e68a1b6860913a6ad4bb21a MD5sum: 89241feee11521c529b6282e815bf99f 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-1.4.2.1.6-3RbnVi4rUuA2gDcUktLBER Package: libghc-filepath-bytestring-doc Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 528 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~nd19.04+1_all.deb Size: 53272 SHA256: 76798b0793d29dacf6a8d6a85f35e3ed03e69aad2904cfd44ee5b6b93fa9cd4f SHA1: 219316ba26619c03d804e36fdda1a4f0c3a2b5d3 MD5sum: e60e8de73e334f29c8d6e30c4e97f848 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, libghc-filepath-bytestring-dev (= 1.4.2.1.6-1~nd19.04+1), libghc-base-prof-4.11.1.0-5dd74, libghc-bytestring-prof-0.10.8.2-76891, libghc-unix-prof-2.7.2.2-fe53d Provides: libghc-filepath-bytestring-prof-1.4.2.1.6-f8fcf 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~nd19.04+1_amd64.deb Size: 89124 SHA256: 5247bd5769f1c8312d3b56aca11e31060f44e75a75117b907fbd1209f8c86983 SHA1: 8d49bca702605011bc130dfcfbdc50e9f7551d86 MD5sum: ffe2e897e1012a4a11122d787aa99475 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: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd19.04+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~nd19.04+1_all.deb Size: 175972 SHA256: f9b643f56f8484103ed657fd4bed071b8859e4ab355e8762c229593fb3851a36 SHA1: 73552c2fd5308fd0871dafa30857cc9d5dc23d6f MD5sum: fea701aee8c848e7fa07077098fd4301 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~nd19.04+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~nd19.04+1_all.deb Size: 499104 SHA256: d1ee3b718cb220ff35df192a87b36965a76d5edd5f50de9e4c233f02d88d62b5 SHA1: a18630cc07e19fee3d05e52ea4b1a90376b7c29e MD5sum: ef008a4bd72fc50431d230e8dd1231c0 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: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd19.04+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~nd19.04+1_amd64.deb Size: 142372 SHA256: 3b83ad9e1e0dc8ece125156f64de7086ff5637489987ef89bbcd5dcf77286493 SHA1: b9b991992c8d5164a140f6e00853648a782d7cee MD5sum: 85e9f4df0190e51d36a413d4d72c4afd 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2977 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd19.04+1_amd64.deb Size: 494724 SHA256: ed7a3b1f572cf41b0eea6e2c5109cd793b1a56566ba2a2e9d1b83d0885be07ab SHA1: cfa519c3eb5268ee1f13c0f245164a4342bd970e MD5sum: dfb049b2b05959ed52d9d203d197008c 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: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 130 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 39424 SHA256: 126c39950bc0ccfad7c924abec8003ebcdabacd7a5a80b1f7e6c0beb74f538ba SHA1: fc74077b894cd2cec866f98b14c4126e80ad8365 MD5sum: 9d11f91f754a42d2866af23190a12c5b 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: mrtrix Version: 0.2.13-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9868 Depends: neurodebian-popularity-contest, libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.29), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23 (>= 2.5), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libsigc++-2.0-0v5 (>= 2.2.0), libstdc++6 (>= 5.2), 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~nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 1338132 SHA256: 5b94b25bda27e3650f916b86bf83a8bea9b776bb004ce90193c09e85191a69b6 SHA1: 9695ea4e1baf999b8ba6bc64b681b1fd04fc14b7 MD5sum: d0df3607e94bc3ed3951be8ae326c582 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-doc Source: mrtrix Version: 0.2.13-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3402 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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 3180372 SHA256: 1af740b1124448f01db6703357b93059f7b01f5a83ec8b61ab8176272ce837ca SHA1: b470252074444187caeb42d825ce2ff551e997c7 MD5sum: 544fc219b3e8d84d89faa2d2a39ef382 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: ncdu Version: 1.14.1-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 103 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libncursesw6 (>= 6), libtinfo6 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.14.1-1~nd19.04+1_amd64.deb Size: 43312 SHA256: b8951ffbca086a3d1665b555022eac023d2d2a03ac8287141d17e0e96b73f1a8 SHA1: 4144c3ee8f0f4f8c4a7a83cd80a35a1c9bb6f615 MD5sum: 4dc719118ae4fb252a12f378f5c282c2 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: neurodebian Version: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 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_0.40.0~nd19.04+1_all.deb Size: 34284 SHA256: 34b2dfc0d2764ef2f26526c67fe73e4ccbcb36b8ea09665b3cd27885d482ffc7 SHA1: d8fb95edcbbd58beae12354a5504bd3a3a2686ec MD5sum: 38d439eb1d1dc61de55ce6b2f8e65f42 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: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_0.40.0~nd19.04+1_all.deb Size: 11260 SHA256: f3928a4a947fd73c60b22a6d0445a9427d59199cd7a59f24b160b6075d86ae79 SHA1: 1a61e92d50dc0d900801f933da1b1b0a1163c5fc MD5sum: 4b970adeab17bb85153f2099e68d9d5a 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: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 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_0.40.0~nd19.04+1_all.deb Size: 117136 SHA256: 9b92ba39466ad049da67355c5d82b697798e95c59f49445013511c52a9c98710 SHA1: fd7e1009c03e8777e5eb8536971dd57245d9e188 MD5sum: 37624ef3f395e9cba82954872eaed562 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: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, 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_0.40.0~nd19.04+1_all.deb Size: 34172 SHA256: 59bd1cad8202c7eeed3198b6be46557534da0d780b84ff5e4e023d9c93a5eac0 SHA1: 5e25f9af66291c1276c511a193b72ca9eb23e4bf MD5sum: a7766747b107e953ccac30acff30ef8e 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: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.40.0~nd19.04+1_all.deb Size: 15428 SHA256: 9a1ed29c46d7a93ee7ad2c802111fc228bbac975482a0319577e9e0534d7c6fe SHA1: 13014d530382ea6cc12c36a9c708013ed74001a7 MD5sum: 979f91abdfb67ff1830fd1925ecf53d3 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-popularity-contest Source: neurodebian Version: 0.40.0~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.40.0~nd19.04+1_all.deb Size: 13304 SHA256: f860bcf4fe0809b531f3c4533cfb20afa34eda044db342a34993a5629b7a0adc SHA1: 7e362131b54972355d49f36182635db0a1ebc380 MD5sum: 6b724b4f07bfaf00a28e9bbe14680e74 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: nuitka Version: 0.6.7+ds-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10364 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2) | base-files (>= 11), python3-dev, python3:any (>= 3.3~), python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-lxml (>= 2.3), strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.7+ds-1~nd19.04+1_all.deb Size: 879708 SHA256: 71fcdb83904902984ced5152d073b96e533d35a40ee8a3496205b6c951c44af4 SHA1: ac409d1badc1c8bc5bce0304e042cd6e3cbc6e5d MD5sum: 7522916a2c840399f281b5439026e0c7 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: octave-gdf Source: libgdf Version: 0.1.3-3~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 338 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.29), libgcc1 (>= 1:3.0), 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~nd19.04+1_amd64.deb Size: 82796 SHA256: 7da9f280c27f255d8ad27b69a5ca0e3fa364d8d0767b47df2adafcb890ff659f SHA1: 6e907e61c964c1a9b8fe0b2f42c38ee57c60532c MD5sum: 414a44e81df5157d1dbfcf2f5120665b 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-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4727 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.16.20200326.dfsg1-1~nd19.04+1), psychtoolbox-3-lib (= 3.0.16.20200326.dfsg1-1~nd19.04+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_3.0.16.20200326.dfsg1-1~nd19.04+1_amd64.deb Size: 912360 SHA256: b7e5abc7d600712b51c72c7c18181a4b70a4f033dc86c87da3ea61e2a9f91e7f SHA1: 9ee6d4d0e9e9cdae0d90aa668c93d8a1a9beda9c MD5sum: 8c992a3b632a961336e77bdc7c382f2a 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 669447 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.16.20200326.dfsg1-1~nd19.04+1_all.deb Size: 24042080 SHA256: ef17a9f1ad8b95819bf253b7be7fb052526167ac6fa15c7fb1d18e671af533da SHA1: 40d3da4f66ec5dfe3198d03135109861b59da4ae MD5sum: 8c917a45b6f7b42bb2fc261107745f8b 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: 3.0.16.20200326.dfsg1-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10197 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.16.20200326.dfsg1-1~nd19.04+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.16.20200326.dfsg1-1~nd19.04+1_amd64.deb Size: 9172200 SHA256: de2e01b94a3795d550f60edbbf04c601d0cffbc029845393287893bd7423b310 SHA1: ea6b5e90c1b1d0b4ae4809b54b5cc7b6703ee2e7 MD5sum: 3a0efc9a104e82dbc8dca50b7035f4fe 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: 0291d54169e8523e0b79b5940c42393ec5a3293a 0fdd877a32789fd837cb2a9d0ff7a660418c679d 36f8db4e3f2bedd9a1d0193a9d6672adf2bc56c2 3c0f66a53c50e0591ed8f0d80b28fe5f701347fb 8fcc62134d237301d2fd802f0181d1e7c75836d7 b4cac2cf671edee2038328e313418a54cbfcecdf bbc5f447a37eaa73a28648f7e81d19678e02e146 bc2d134e4c001d3e5e01863265e4ad9ac7f5f26f cac34cf65b0766477c08c4ab1411f6f867b31656 d20dcf992ef8e9883ae784090549ef375c02afa1 ffd25d7138810f602e67e64a24f2edcbb0eb905c Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.16.20200326.dfsg1-1~nd19.04+1_amd64.deb Size: 75064 SHA256: 5cdf8bf30f57f30d4b3fe4b2b6bfa2cbf18e9c34d900f4f1fd1c8724f1c06a65 SHA1: 46a29b72ef5cf0a0e7479a36344963cc62679711 MD5sum: 74c18f517755a8d28835dfba69b1b769 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: python-datalad Source: datalad Version: 0.11.8-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 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_0.11.8-1~nd19.04+1_all.deb Size: 950148 SHA256: 10d4dca9f4c2dcc800330e418fefce2244df05e82c73356b586a3229ef03e867 SHA1: f1e38e85211528bff6242b4a840abde4882faa12 MD5sum: 3319a81d818d52da8d64cd1ba2017af0 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~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 79572 SHA256: 29747bdc72e65c9eb582a8ef00b3ce2cd79ad9a3cea8093cc91fbfb075e75c15 SHA1: 9759afe9f3c0640e5b236024b012c1410d11ae77 MD5sum: 1c30b37ec911296b42ab30f5b8fc51f5 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-dicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 4992 SHA256: 591d8859c399fa4cf42a2c3a775f2651aa20c1aaca34e4a528b286cfa2584f15 SHA1: a0f5f8e004e1c04d317cca35cd16ffd29a5ff96c MD5sum: 85ce9b400685d9869162d985f5f17004 Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 246 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~nd18.10+1+nd19.04+1_all.deb Size: 53492 SHA256: 559b5000c8615188e405db9a8696544c15ab24ef8fd246c45f4112e605d5db3b SHA1: 9f8871dc5c7c6b79bbed19f1a6c8ad085d81ed32 MD5sum: 480d9a03d39eca24d8fed187f3044c85 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-filelock Version: 3.0.12-1+nd1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python: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~nd19.04+1_all.deb Size: 8212 SHA256: 0f6a594d23fb057aebca7336e445b634eff196fa1e052d03e6430eb29f45da39 SHA1: a86c52fe47aace030f5c503d236ebee087fba356 MD5sum: 0727e91d843d47dbcff4014664e6b3d3 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~) 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~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 84408 SHA256: 8068f4112ded618ab3e3fd10b034982b7c79aed8f18f81a8f29453cc3d246a66 SHA1: a8aa8c4ec374009300524631ec604a4a33cb9d70 MD5sum: d36e699dc6c3fa83032f970f43f4bdff 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~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~) 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~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 75500 SHA256: f6c48b437cc02b24355399e1cf31a38b178d1c10b0aa2471982c39911c3d016d SHA1: 7a0d6270b7ab3f20e166cb23320764a1a7f73963 MD5sum: f232ab0a9416af5e1535e7388fb47142 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~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 374 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~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 69076 SHA256: f3f3aa6aefadade5220d63f819257da6de20d84865339b5bf19706b7be03b987 SHA1: aa25f97daf2d261d40143c8bea24526d214fdee9 MD5sum: 8401af3bcc5b09baeb5ef5feefc31f57 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git-doc Source: python-git Version: 3.0.5-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1038 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~nd19.04+1_all.deb Size: 130924 SHA256: 97438dd4fbea0cc1e97f426f53c7333cf2be2574d47d57ff79b1b87aaa229a08 SHA1: 0df922fd02606b81ff9d70fab95df20eec61ce17 MD5sum: 949bd997d8fd54f240639f8288cd35b9 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~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python: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~nd19.04+1_all.deb Size: 46980 SHA256: e8ab97933adf3f74ff1b0c794bb986598011fb6d5b854a0967160f2356a8d024 SHA1: 63b6016a428d9bbd7e97484d3f4cc9589881db13 MD5sum: 0c9f002be337041ed0e61deaaf1cd66a 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-github Source: pygithub Version: 1.40-1+nd1~nd19.04+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~nd19.04+1_all.deb Size: 55572 SHA256: fcf8755ef307a51fa21e78e09753d238b24e3f7b91512c031c9b90a790de40f4 SHA1: d2d03912301173e90ffca0ad1a7295aed04c1c44 MD5sum: 3c3f86189ebd95616d47a41732a269a7 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-h5py Source: h5py Version: 2.9.0-6~nd2~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3309 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python-six, python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python-h5py_2.9.0-6~nd2~nd19.04+1_amd64.deb Size: 749040 SHA256: c243706c63420a1c0e2c33b860b5383395ddc72b44a9457c878ad111ce247b0a SHA1: 81e3fa64a4bb3d0413372bd9009a2bcdf947eddb MD5sum: aa9beb3f8a90a6cccba6483c1bc623c1 Description: general-purpose Python interface to hdf5 (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 2. Package: python-h5py-dbg Source: h5py Version: 2.9.0-6~nd2~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17749 Depends: neurodebian-popularity-contest, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python-h5py (= 2.9.0-6~nd2~nd19.04+1), python-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python-h5py-dbg_2.9.0-6~nd2~nd19.04+1_amd64.deb Size: 5909376 SHA256: 78665439483aba430953cbccff56208d75c04ff493ce580b61ef1907dbb465ea SHA1: bb69b9d1b467ec378d801d6faeb9c348ab634625 MD5sum: af8e71319aea17ef92e30e208690c17a Description: debug extensions for h5py (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 2. 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HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-joblib Source: joblib Version: 0.13.2-1~nd19.04+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~nd19.04+1_all.deb Size: 192400 SHA256: f767f743eebc77ec6276690238b9a50bf936d1f5a6c8bb383061484c0396986f SHA1: f24157bf13226f9d95d2416e08f14191c17fade5 MD5sum: fd2a75128f1e501bded08c297b409c19 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-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 559 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~nd19.04+1_all.deb Size: 72420 SHA256: be6f59441765122643cf88ea6bfde304e8fa015838098c13cd63572110d4d7a5 SHA1: d21ad38c52ec4a63b90a4db44ed126832824ca19 MD5sum: 7a10ea698e980b0eb4e112b246025ba0 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-nibabel Source: nibabel Version: 2.5.1-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65839 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python: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~nd19.04+1_all.deb Size: 2650572 SHA256: fdb2c796723c14fc46bfee26dd20544783c96847bcd673dcec2de8b90677f758 SHA1: 2bda2791197d3785ae4fd84f0caab51cf9d9998c MD5sum: 997c212603e1e877dc5b18a6cd01d9cd 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: 2.5.1-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9316 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.5.1-1~nd19.04+1_all.deb Size: 1488696 SHA256: e7c0e1fef0e2eaa364938efb8756309cd78e91f5a6631e1f53fd91b35356438d SHA1: 2dade1ec323ca36ba94e36310da876328aa0bbd0 MD5sum: de7a2694da8c0df87c83a86937a6f58a 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-nipy-doc Source: nipy Version: 0.4.2-3~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9402 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 1.0) Recommends: python3-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-3~nd19.04+1_all.deb Size: 1896696 SHA256: f1eb21e9f92fefc1dae4aa8a2e6621f6db22f92e26d22366924adb55dabd6778 SHA1: 367e8d4efe9ebbb92e4cee1d908c96b3aacce2a4 MD5sum: 7a3fb6c830b9840a27bdeadfd071eff4 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-nipype Source: nipype Version: 1.1.9-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10996 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~nd18.10+1+nd19.04+1_all.deb Size: 1886988 SHA256: b2fa5893c7a47cb3028b353b9ad21f9e322ec9c9a28a1df8adffe65da0d3213b SHA1: b905223626b4373da5b0ae78663d3fe2130236c9 MD5sum: fa8310ca99a8a4f323ebcb10faa9a879 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: 1.1.9-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39312 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.9-1~nd18.10+1+nd19.04+1_all.deb Size: 17907184 SHA256: 94c4f392175482894bd704d947b43779b36f552b3ca22a55d793c5ffd21b9eec SHA1: 4e0e95d2abfac71d77968b36f5d25e362628c476 MD5sum: 1f0c8d57254e7b84eddcb5f4971be2a3 Description: Neuroimaging data analysis pipelines in Python -- 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-doc Source: nitime Version: 0.8.1-2~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4210 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_0.8.1-2~nd19.04+1_all.deb Size: 2427460 SHA256: bb297eae1bfbddd018ce83da540f94ccda429891fcbf48c7f1f32db031b47fd2 SHA1: 07700e709d5fb07cb28307c648133e983ff69118 MD5sum: 0aeac63c5d0019f50b120c4d0b826f5f 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 168432 SHA256: 10c338e9cb3a4ecc04dbcec81aa2cc80569e58f330e3a527c8156928d336ac10 SHA1: 21cd2faef986ffcee60eb62659f49710e375246e MD5sum: 24c4b4cecc31456aaa6f14a9513aaea7 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~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1204 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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 344644 SHA256: 8c724e87b0f913c2369f055bc499009d22e6182fa21c7e421d753a786b2842d1 SHA1: 9a0c11f7e6d888c929fdaabe43c3bcd97a9dab3e MD5sum: b228c32c43fd02ef6a73da3cbd3a1a4f Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pprocess Source: pprocess Version: 0.5-2~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) 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~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 83168 SHA256: 52afd4d641689128d9997f29bbd69dd486d3b282b8a0cddda7328d23e7a0b3bc SHA1: c8cb576ac711b7c8d26c0057df100f1530e1a1c3 MD5sum: 6cccaee9a56b8383dfc73bee2a1be7ef 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 117528 SHA256: a76c2e4007d84ebdf0492862132d0df8c84905404835033b216426775e59cbae SHA1: 246141abb162ac9066e06f46d3ada1629f0b0a95 MD5sum: 20f8bc709b7c2c272da728932a196ca3 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-pydicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 4396716 SHA256: 489fd118871922c60892df4f6ef11873b560936429ee5e36b62140e5ef003788 SHA1: 45e2e7e94c0a7a59b8fabe8c0458922b7e20cef6 MD5sum: 73a46ce38cbc6fc06d6df478c6b1ce0f 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~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2842 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 342644 SHA256: fde909eb1e0fb93647b26aaf7cf28269f41f45c181258a78d86d78d647864cee SHA1: a26c9a85f3377c55d50210f58ab94f5834d1e47e MD5sum: 569496b3bdbc9f0d54b299979f49abe7 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-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 98176 SHA256: 77522f14f8fa7f3c4c213090f2e3887b9e16a2bdbdb74ecf22bc61ec10403d78 SHA1: 5516e82af319f2149d720d89346054f3bb6e7203 MD5sum: 106037446160c332ebbe59f83c9142ac 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~), 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 68344 SHA256: 068c448c1988096c6cf66a747d71f234d0b4d26d1a48e32f65dc1810a6d286d6 SHA1: 8a8459eedbf83f8052d3acba160f07ed8939f9b1 MD5sum: 58f18dcdf289693dd531cd737eb8aa5a 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 342 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 308760 SHA256: 33a42a9aa4e6e5d8554f5812a4add3c5c01305f9fd14e02f8536ba7338b9531e SHA1: aae18b3c88a0394cd658a2c3b343f8697c0be8b8 MD5sum: 43617a99fe4d0d442a8858807fd3a8e1 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-statsmodels Source: statsmodels Version: 0.9.0-2~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23178 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-statsmodels-lib (>= 0.9.0-2~nd19.04+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~nd19.04+1_all.deb Size: 6221136 SHA256: 32aa7cf2571a27262fe52c88a465f8e76abfc85c0ed6b2f39835e350dfc5ae86 SHA1: bae5aecc35f085b637ee45806bb0b8ef79a96096 MD5sum: a819fd1db06cc9c56856a68b8761251c 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~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79017 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~nd19.04+1_all.deb Size: 11559952 SHA256: 4f26ecc87ce450e00f9c9cd617be004740ca0017208dea8c4ef233764649bf39 SHA1: d59a08bb78fbb7ecba92de43a589943c34d21700 MD5sum: 913ecf81296a89a459714844efa8fc74 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7059 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 (>= 2.29) 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~nd19.04+1_amd64.deb Size: 1238796 SHA256: 63c9f1e3ecd169bbf168857032161172fd4d648343eaafa4b749fd7d33609042 SHA1: 161b2065e7e049becd43c9095d05e4b7df74046f MD5sum: b6405216e4ce2d54f9d08b889786d62d Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python3-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, 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_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e 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 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: 0.8-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any, libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd19.04+1_all.deb Size: 79012 SHA256: 00ed263ef8f8360321083ac78f40025e5c6ffe9487d28af40f100f86b81c9fc9 SHA1: 02426708d86eb49808c88347a76b3ad4d0342e2f MD5sum: a3fd455bce5bdc19f910719285f31594 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-dicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 4996 SHA256: 84eec8e5bb1b408ef36c5414f2ecea53fc03be8706811190153aa70e82d3e756 SHA1: f33ee0014a55745536db6f02c16526723622a39e MD5sum: 53ee5a654a152acdeb07e217269cef9e 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~nd19.04+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~nd19.04+1_all.deb Size: 33656 SHA256: 7fddffd093dae362bb6c67268107cb063f86ceb4c244ace8093fb4f20fc20b56 SHA1: e88ce4a9bb08c3b7803438fba46d3b5023e179c9 MD5sum: 56486fe008a03afe7334578feb5d5b08 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~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 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~nd19.04+1_all.deb Size: 12728 SHA256: 9f40b3ea13e714dc39a30bf44d871860cfabb68d5be71fd38b4aadcacbcaf35c SHA1: cc44e57e1111702c3026e0dc4ac3ed251c5aae5c MD5sum: cbb93bc45a3615c35f852c53ced8c0cc 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-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.7.0-1~nd18.10+1+nd19.04+1_all.deb Size: 53744 SHA256: 1231b775f6f385304e05c4abad906f601859ec99b2134931a49e691903220a9e SHA1: 15bb5837d306fccaeb1a8b4d436dc03db280054f MD5sum: 31a5de46a66a7c2cbff3e3727d6366c8 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~nd19.04+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~nd19.04+1_all.deb Size: 6192 SHA256: c398be9d2cbf3a130ac545c2c06fecba881176d262558c9fae206e32c6c51222 SHA1: fb53132fb906c020e99748f60e3a1f0dcf268f52 MD5sum: 4833dce8a8b5ba95bd925254bc61faa6 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-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd19.04+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~nd19.04+1_all.deb Size: 8296 SHA256: 8d927c5c32682721a236dc0d405ccca0c6cc3ae253c804ec24fd83efed60b22a SHA1: 6b05ae8d94c3d4f9aa2dedd5d8020a4678165594 MD5sum: 8a4b181629180663159bd27e46f56a3d 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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 Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 84428 SHA256: f77409b12129461188e570fa2f9ecca0497f2aeeb20d74369abd2256bcf42a35 SHA1: 2d99009f0e466fc51a88b3929fdc3202ba5796a3 MD5sum: d28140b10f50cc21fd548a35ddd46125 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 3.0.5-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1678 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~nd19.04+1_all.deb Size: 307784 SHA256: f9c4d7f2e692725510b923e8d49c58c0182203fe54abe5f04975b8ef520233af SHA1: ecfc7dcf817e8e70e200bbbc94943303c870cc17 MD5sum: bf4b24b69c0b52c1b31360d1f7cc98d0 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-gitdb Source: python-gitdb Version: 2.0.6-1~nd1~nd19.04+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~nd19.04+1_all.deb Size: 47076 SHA256: 186d6c6de650626ed65fcbee17ec0f362c71566dfaecb02cd633ab2b484eba58 SHA1: 6005c8f277a0f068ce0c2964850fe3742d0ad634 MD5sum: e1102b99a687a4d2666d3b173ee59d83 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-github Source: pygithub Version: 1.40-1+nd1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 805 Depends: neurodebian-popularity-contest, 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_1.40-1+nd1~nd19.04+1_all.deb Size: 55652 SHA256: 83c3ec8bd27e5f8a9c5ba3deee19c0b8349ede5ea2d88f79a3a05f0285e4120f SHA1: 4bffbbe696377ab5096ecf7eef53535dfc16d9d6 MD5sum: d60dfc4b42ebfb6dc18b81641dffcc0e Description: Access the full Github API v3 from Python3 This is a Python3 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-h5py Source: h5py Version: 2.9.0-6~nd2~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3393 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-six, python3:any, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python3-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python3-h5py_2.9.0-6~nd2~nd19.04+1_amd64.deb Size: 770884 SHA256: 1cc81da0b2d76aef49a690818122bf25ec898ea8990aef77502215c5f5e83340 SHA1: 5ffd012814d355f048e2a87bcd36d2804f2885b4 MD5sum: 73f3e81a2548646964050e0945395665 Description: general-purpose Python interface to hdf5 (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 3. Package: python3-h5py-dbg Source: h5py Version: 2.9.0-6~nd2~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 21576 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python3-h5py (= 2.9.0-6~nd2~nd19.04+1), python3-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python3-h5py-dbg_2.9.0-6~nd2~nd19.04+1_amd64.deb Size: 7069264 SHA256: cc81dbb07768a56579804a2c8756e4c50dfa4b870ed09580bab5fabd9c7ce879 SHA1: ccab1ef3eebf0168834ecbf7caf4b121201bf83c MD5sum: ccdd7622c6931657742d2de1171e55e5 Description: debug extensions for h5py (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 3. Build-Ids: 0d5c1d5261f4e7bca9e7dfcd7c64c872b4bc5924 1a39ef89d03834db2a84aa9d744bf6ad2e9f52db 2733e02a023e4514ef20148587263dba7ff62c50 2829992f2ba9cabcdd1f50bb1e41dfa1ecf5ef1a 2881c22e4459a476287eadc9942f181a5cf82d8f 3a4c88254d07c949d35a1bede6f3cde0b32c7129 3f4b69849d2f6d760c676929c0870d620f61bb39 405d8e7e7126c062de4a52609aa20bac12a11965 447c9204877558f2f3559d97eea2d411b113264e 4ad41a567a05f80d44c778637daafe81ad4a36c2 5369e3e6daf0d6442d79af35fd6d389e1ae345ab 648a39e702b08a426d3b2c23bf0086edeb167f26 746d3a0efdcfe39b5189b57619cfd8a2d92e81e5 aef25b9b82494fe4f2ab9edd803268df923d4ae0 b754b164c101b6065620d51d8681ab0701ffd294 bb92a899f3172a1462254b635d3c4d02d7390c15 d300dedd105ddfc649af079c8f041ff68c464d56 d46230f9c589cea57c650e8b3b941079183e1a68 d51341bf1cfc46622a5cb377f640393b5088149d ec88cba9fd34cb327479366ebda03d942897f809 f31ad23e90b09e270aaeee181b97e526e8255813 f502e41316be4d6b7a6220afbb73d5631750fd34 Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd19.04+1_all.deb Size: 63672 SHA256: d0d65bd65be972dfae2be7d57ad1b68c2bb34124766a984be497cc2c02778a04 SHA1: f8e1fb86e937d23e7968b03cc1c831eb59551e6f MD5sum: b27329e26b6a1feff7f6b0b5b70b22b2 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-joblib Source: joblib Version: 0.13.2-1~nd19.04+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~nd19.04+1_all.deb Size: 189336 SHA256: 080fa35de92df8ae5daa16e5497ad681153dd54429187ed013ebee27e2f09783 SHA1: 04c46404a650855e7b7ee68d3efaae5822945f3e MD5sum: 27e7a768ba2fd292fa4989936375fcfb 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-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 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~nd19.04+1_all.deb Size: 43228 SHA256: f3384cfbf490f390d012a28f633c23f85dfdf50c245a2a6df8df4e7697978f83 SHA1: f0de914e48351bd8d46297d2bb63aad130ae7650 MD5sum: 93e1099ea6298f949eb121076b8f89af 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-neo Source: neo Version: 0.7.2-1~nd19.04+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~nd19.04+1_all.deb Size: 1309312 SHA256: e3edd223b1d78bc2cb633dc56e501258fb2f586acd2227b14c363c8e720cc0f7 SHA1: c8e5475ba345168491a669296da1ef68d799e035 MD5sum: 414a216c7e4899732506b5bf15191916 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: 2.5.1-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65824 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any, python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd19.04+1_all.deb Size: 2646224 SHA256: c5a4e405f9f9755f549529cc03b2128b3711454c4b175e66ad2a58b53d272c1c SHA1: f60c0cbe098bcd57443eda972f07eae32392d239 MD5sum: 8f969cd2938678bc74fe4f510a01a293 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-nipy Source: nipy Version: 0.4.2-3~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3548 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.2-3~nd19.04+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.2-3~nd19.04+1_all.deb Size: 783496 SHA256: b8d4f93e608e006b323ab1ed6441a3c86bb783ad1869df451e06ea2432c0435d SHA1: 8484bd9c1e8256b91a14674fdca6dca7ffac5383 MD5sum: 38c038619519e3c30231044ec2cad1ae 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: 0.4.2-3~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2735 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.2-3~nd19.04+1_amd64.deb Size: 645496 SHA256: 2bd8aa993cb7a4f35e47e0c3c4bfa13e01cc03da4b1e46c1c64ef28905ba0b6c SHA1: 1315db16bec446f96ab9f84eea82c8db8cbfd94e MD5sum: bcb6d83874c6950bba701202ca220e0a 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: 0.4.2-3~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16350 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-nipy-lib (= 0.4.2-3~nd19.04+1) Homepage: http://neuroimaging.scipy.org Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.2-3~nd19.04+1_amd64.deb Size: 5309004 SHA256: 42466053ac77b42068d2bd69a3cca7627876c4656b9c0c8784e301ce7e2471bd SHA1: 828485f844bcc668ed1cda7255d2f65645342fc4 MD5sum: 5d3b8d21bf504e7a55a1a3a0e3a9b3fa 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: 1067949e899080dec8e39a935351c8ad79678fb8 232527391c2b597cc52fb9dddc63720fd0275b5e 289e14317bf420c098e214040c6b6b860e8694ab 31f121f870c45606efc3a8ff2e2e229803b53b02 89ab0acd55fe032fa0c3e289fb7772cd62e3dffe a188fbdea2dac42948f1172ee956a64d52a36efa b93906dda3f256d508db8710321d2ac0feacc3de baea0b4ffaf3d277ef6c0e75a26c7e5caed42bcf bdc4e73dd2ff6b8c0ee8e5b0e9c0b8e7e3211220 c3ac459168f95993ea9fd4796aba66669eee43a2 ce02c1353c80cd3234da702911ec9f7ffea47bb7 da24bb6744b7e61f0f80c5cc60b172e06e88bd57 e7a727988a320d1403c2d7aff0e3f3d1dd956c97 ffbcb8b3c9f1beda0bde0175b20048d4fd2abb0c Package: python3-nitime Source: nitime Version: 0.8.1-2~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9380 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_0.8.1-2~nd19.04+1_all.deb Size: 2546632 SHA256: 36188d4df4cce3871e598a7635996b9f92d946f1b70af2445aa46c3f3cf4bee1 SHA1: 926511bc104dd183b837cb0d6e853d6bb32ac5e4 MD5sum: db397601f45592c76751889edf4fc56f 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 168512 SHA256: ae27a875a73e1e16107903057a9957be176895497e7e5e82badefbefc94eab0e SHA1: 3fbc1d03cbde798b2a87361e34e6fd42b4a0dc1c MD5sum: 65f076cc2105cdb17a542cbc4d33359f 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 3 version. Package: python3-pydicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 4397024 SHA256: 5345e39556503e5dde198f5c5c25828c8855487ee67cd012bb7fcac1aa21fbdb SHA1: 5db386357df03176d1dc0ea8a80a1d2028cc7f74 MD5sum: f10eb54ea77407ed894e03ab9bfc42bc 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-pynwb Source: pynwb Version: 1.0.3-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd19.04+1_all.deb Size: 60500 SHA256: 34344b45338559ca8ff3352d03a5a6e0ee1e26c55825c1ff03ae1080d8401f9a SHA1: 17d8c5e3dfb4ee81b570e60814f3a6ee74335eda MD5sum: 4e3540323203264f2827c1cc8e7cb56c 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-pyrsistent Source: pyrsistent Version: 0.15.5-1~nd1~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-six, python3:any, libc6 (>= 2.14) 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~nd19.04+1_amd64.deb Size: 58048 SHA256: 794ef02f22b6c30119351c871f4a0863c4624cf20efefc83779507947a721b1d SHA1: 277d1ec687d88e9546b35fbcfae464d464c3fd2d MD5sum: 032a0947803ce2f97465aa7377d1ffb5 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-quantities Source: python-quantities Version: 0.12.4-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 352 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~nd19.04+1_all.deb Size: 54984 SHA256: cbadde794c6bbfc818a29f092a512d07dfa4e222481ec559aaeee947c319ea5e SHA1: 7b98d503ffd851884948e59ca5fd26a6f63a24f1 MD5sum: c46e3ff3d17e2dbfc3f92fb9e9b43d8f 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-reprozip Source: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 180 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), libc6 (>= 2.14), 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~nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 46600 SHA256: 8ccbf354f74d8b43bff55cd9ca4a2cb39827455a057b98276ce7282a8584d29e SHA1: 2b93b27f9787deef921ec7077aa246855c72c517 MD5sum: 88b93b6744c9f8d8a2346cf83ade0d8e 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~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 290 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-dbg:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 127604 SHA256: c77f7cc6c5f6d5effa5dabc314c4a40bebe7af371c9e692af4d0fa4c851b3fff SHA1: 3ae1eef7619db2180f67f0a710a156ea59a17eae MD5sum: 2553eed48b8271db7e44433f0bdfed65 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: 10faf00ee6d79eadcbf83666e099f9080fa66a1a Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.0~), 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~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 68176 SHA256: 795f0ea700788686182794eba01d84be3edacb38789981a263d8470059f7d7df SHA1: 416d264573f422f2bf77f6b328fcf3539643f90c MD5sum: ce1fe7290579d6d512b9effb5e04817f 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-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.3.0-2~nd19.04+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~nd19.04+1_all.deb Size: 8052 SHA256: 5a13bad0e34299a66cc66f8f695aaa2b136ad368e55ce67a8af69652806a8e4a SHA1: 5b36686b71a234f74317b4b15fbaa831f2e4e495 MD5sum: ae67150e7af0fb8bb3b43889a73c4d7f 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~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18197 Depends: neurodebian-popularity-contest, python3-numpy, python3:any, python3-scipy, python3-statsmodels-lib (>= 0.9.0-2~nd19.04+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~nd19.04+1_all.deb Size: 3429860 SHA256: 2f23b6274450b08d124f19e4f1ba18519cb4770c76c7bf3bc3c737097d81bfa1 SHA1: 9a12c2cb9cb738308a16efcdc07135e5cf470e9e MD5sum: b57b003a6437f566c90149b16260c506 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~nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6959 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~), libc6 (>= 2.29) Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels-lib_0.9.0-2~nd19.04+1_amd64.deb Size: 1224252 SHA256: 539d7d421f6d83b2bb62626a0be84c545daebfe2f4ca5aa988355e9ed7622b1c SHA1: f3e89bbfc6b7aab2ac0f8fe0fb062d9a792d125b MD5sum: b5d4dd8f01823e833153588b67055462 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: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) 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_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e 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: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+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~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 3732 SHA256: 88acfc836f10a220282650a4438d5e98b0925c7fbaf38361936178ceb0767ba7 SHA1: 68ee1cc3e818fb95ddc8e911288d0f509cdb4397 MD5sum: cb2e20acb8690ce40011ecfd3cf27fdd 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: singularity-container Version: 2.6.1-2~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2577 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd18.04+1+nd18.10+1+nd19.04+1_amd64.deb Size: 354468 SHA256: 14f58454971b0fb416d60737f68c14f530983261fec48621f41a497ec37303f3 SHA1: d8cfc11da6d846ae0ed242bf55db1a0111cb2bc9 MD5sum: 2947828a0b8551744c4c4057092ecc7d 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: 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, 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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, 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