Package: con-duct Version: 0.8.0-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, procps, python3:any Recommends: python3-matplotlib Homepage: https://github.com/con/duct/ Priority: optional Section: python Filename: pool/main/c/con-duct/con-duct_0.8.0-1~nd24.04+1_all.deb Size: 18776 SHA256: d64309cc92c354d32130c5d03a955693ee519cf2c2677201deafa27416b76e77 SHA1: 69c6179eb975bec81f6e4a29e420aba9b5508185 MD5sum: b2ae4c470daef0652333ca2dbb5b95b3 Description: lightweight wrapper to collect execution data for a command con-duct provides a duct command which is a lightweight wrapper that collects execution data for an arbitrary command. Execution data includes execution time, system information, and resource usage statistics of the command and all its child processes. It is intended to simplify the problem of recording the resources necessary to execute a command, particularly in an HPC environment. . Resource usage is determined by polling (at a sample-interval). During execution, duct produces a JSON lines file with one data point recorded for each report (at a report-interval). . This package installs the Python library and command-line tools. Package: connectome-workbench Version: 2.0.1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 67028 Depends: neurodebian-popularity-contest, libc6 (>= 2.38), libftgl2 (>= 2.4.0), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 6), libosmesa6 (>= 10.2~), libqt5core5t64 (>= 5.15.1), libqt5gui5t64 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5t64 (>= 5.15.1), libqt5printsupport5t64 (>= 5.0.2), libqt5widgets5t64 (>= 5.14.1), libqt5xml5t64 (>= 5.1.0), libstdc++6 (>= 13.1), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_2.0.1-1~nd24.04+1_amd64.deb Size: 28742344 SHA256: 3916625ce34930a893c803f098d0ed86c8f543dfeb10a58ed5418fef983f257f SHA1: e2003df69e8c6aac4ef1e06f7e89db915bc6249b MD5sum: 4bc8af884900c17bb2f5a675ebad8850 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 2.0.1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 362166 Depends: neurodebian-popularity-contest, connectome-workbench (= 2.0.1-1~nd24.04+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_2.0.1-1~nd24.04+1_amd64.deb Size: 359416234 SHA256: dd0682a5d7e0839dc173ce797f71925910fc690c03eca9f1d7cb42ef080f6d1b SHA1: 4e4f02a8afccab6db16262b10f821d216aad7c83 MD5sum: 20f465e47c7b5d581ae1ed262dd514dd 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: 02b2d5231d3dfe87ce80e012fe6017efb1e899dd 54399395f2d9f87a2129ced614f2af75e995da05 Package: datalad Version: 1.1.4-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 230 Depends: neurodebian-popularity-contest, python3-datalad (= 1.1.4-1~nd24.04+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_1.1.4-1~nd24.04+1_all.deb Size: 190692 SHA256: c7e8ae161596889d77d7cc930f31a7574cb6381d895617ec8b1cf52f544aab99 SHA1: d3a0f5c8e415cf5d4f859fb3df02c72e6e4e651e MD5sum: abedbf2f977eeb185c694b80b301f6a2 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) Package: davfs2 Version: 1.7.0-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 374 Depends: neurodebian-popularity-contest, libc6 (>= 2.38), libneon27t64, debconf (>= 0.5) | debconf-2.0, adduser Homepage: https://savannah.nongnu.org/projects/davfs2 Priority: optional Section: utils Filename: pool/main/d/davfs2/davfs2_1.7.0-1~nd24.04+1_amd64.deb Size: 168034 SHA256: 0ee1303d0bc2b415ddd311bad1c0d393f2b78e02d985e9dfbd6af963b9ea65e2 SHA1: 58d7379c49680b19a2b31c03ff810782d1fedd0c MD5sum: c0de21c1e70f55ea47e238809670dbd1 Description: mount a WebDAV resource as a regular file system Web Distributed Authoring and Versioning (WebDAV), an extension to the HTTP-protocol, allows authoring of resources on a remote web server. davfs2 provides the ability to access such resources like a typical filesystem, allowing for use by standard applications with no built-in support for WebDAV. . davfs2 is designed to fully integrate into the filesystem semantics of Unix-like systems (mount, umount, et c.). davfs2 makes mounting by unprivileged users as easy and secure as possible. . davfs2 does extensive caching to make the file system responsive, to avoid unnecessary network traffic and to prevent data loss, and to cope for slow or unreliable connections. . davfs2 will work with most WebDAV servers needing little or no configuration. Package: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.34), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: https://github.com/grondo/edac-utils Priority: optional Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18+git16-g8fdc1d4-1~nd24.04+1_amd64.deb Size: 26080 SHA256: 4afaab73766349135f8da1703d87430fb435c1ae6f382ea5cc3e1e647bf52b4c SHA1: 767d322404cf1027077135846c8e7d539f2ad6a3 MD5sum: 883791fa79c0c6022614b5387530c60b Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: 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: heudiconv Version: 1.3.2-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13563 Depends: neurodebian-popularity-contest, python3-dcmstack, python3-filelock, python3-nibabel, python3-nipype, python3-pydicom, python3:any, dcm2niix, python3, python3-dicom, python3-inotify, python3-numpy, python3-tinydb Recommends: python3-pytest, python3-datalad, python3-etelemetry Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_1.3.2-1~nd24.04+1_all.deb Size: 8609690 SHA256: 01c81da3471d813ff5ea4e5507a3f9322125f85bea8b7f6949cd4193aa0a5231 SHA1: 8d320ba0eb575c7a6792ad13814389aab54ce463 MD5sum: 3d41a2625faf7b0e3f2a3e9b53300092 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: libedac-dev Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd24.04+1) Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git16-g8fdc1d4-1~nd24.04+1_amd64.deb Size: 15026 SHA256: d075240c2686a7be68f051d8f308dd600204030ebcf216a61a137fdfa83d8caf SHA1: bc1dd6f7695ea500e97779fe1865702f6cdbccf2 MD5sum: d4e65f026936315c78f6ba781435257a Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 (>= 2.1.0) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18+git16-g8fdc1d4-1~nd24.04+1_amd64.deb Size: 10790 SHA256: 238844b5f8fe1ecc08be2c21e614d5a1996a1223d58deec573dd8172d2857893 SHA1: e2b8946c3fe78ca31afcfe6fbe27c819738f2ea9 MD5sum: 641c2beeaadc105ff1756f0bc7349e46 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 65 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd24.04+1) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18+git16-g8fdc1d4-1~nd24.04+1_amd64.deb Size: 35176 SHA256: f0b00bd3e2d3bb0c145bedb35e7e7e95c17927f5674332aaa1372e1dc7f0e880 SHA1: 5e49926d6a76331e6b64b32bc02c280aca5bc09d MD5sum: e364b5c4f0acde8f88bfaef147ede59c Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Build-Ids: b451299ff213654b984f9114686f5d5ab2b4c2f3 dc852e9f2e09297e63ff3e67c6a0c42e8394a03c Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6399 Depends: neurodebian-popularity-contest, octave (>= 8.4.0), libapriltag3t64 (>= 3.1.7), libasound2t64 (>= 1.0.16), libc6 (>= 2.38), libdc1394-25 (>= 2.2.6), libfreenect0.5t64 (>= 1:0.1.1), libgcc-s1 (>= 3.3.1), libgl1, libglib2.0-0t64 (>= 2.12.0), libglu1-mesa | libglu1, libglut3.12 (>= 3.4.0), libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.8~), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libopenhmd0 (>= 0.3.0), libopenxr-loader1 (>= 1.0.3), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 11), libusb-1.0-0 (>= 2:1.0.22), libvulkan1 (>= 1.2.131.2), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.8.7), libxcb-dri3-0, libxcb-present0, libxcb1 (>= 1.9.2), libxcomposite1 (>= 1:0.4.5), libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.19.14.dfsg1-1~nd24.04+1), psychtoolbox-3-lib (= 3.0.19.14.dfsg1-1~nd24.04+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_3.0.19.14.dfsg1-1~nd24.04+1_amd64.deb Size: 1290352 SHA256: c81df31e56d40f5ca8a1e38fc458b9aa8ce1ba21d90cb2b8a85ac6252c577ced SHA1: 5b2a74b95c30bbac7a88c429cb374d9ccd1f8eaf MD5sum: de7306dd6cbbcecdbf2c353cf9228c7a 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: 3.0.19.14.dfsg1-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 57985 Depends: neurodebian-popularity-contest Recommends: alsa-utils, apriltag, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.19.14.dfsg1-1~nd24.04+1_all.deb Size: 26769004 SHA256: 757653da3af4377de7852bd7cd91308cf6e21e2560bb4281a54892f2dc9b2cdf SHA1: 50ff08b4effcb56dcf207d428c09b0977dbaeee2 MD5sum: 03a8ea4ffe57e012e82553c2482f1c4a Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 247 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.19.14.dfsg1-1~nd24.04+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.19.14.dfsg1-1~nd24.04+1_amd64.deb Size: 174300 SHA256: 646c49c205ce6c6b6c80bedd0dc877f8881bf0c941826a84360af6dd836938f0 SHA1: b30458aefab05aa050c8833623d68e9f0912737d MD5sum: f690cd162f936af7e8ce1bc9df13236d 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: 1d1a0b471753525b2fc6762d76dfc55257d01400 716510a99f64a49237a614bfc94ecfe9d7975891 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 200 Depends: neurodebian-popularity-contest, libc6 (>= 2.38), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 13.1) Recommends: gstreamer1.0-plugins-base (>= 1.8~), gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav, libopenxr-loader1, libvulkan1 Suggests: libopenxr1-monado Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.19.14.dfsg1-1~nd24.04+1_amd64.deb Size: 74886 SHA256: a255a637a5581c565818dde896805bae591da4db01df25e1ab9da31eca784b18 SHA1: 831b9f9b79bea5fcf7383ac8675613b61562e481 MD5sum: 89bec98a174574a4f996e3d29ab2c6ca 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-nipy-doc Source: nipy Version: 0.6.1-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11968 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 7.2.2) Recommends: python3-nipy Built-Using: sphinx (= 7.2.6-6) Multi-Arch: foreign Homepage: https://nipy.org/nipy/ Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.6.1-1~nd24.04+1_all.deb Size: 2135934 SHA256: 9d8b8a73ffb12015c12eff419f602f8172c5fda7b0f02fbf0f49654085753b84 SHA1: 275a1bdaed5152aaa436e8a018184469d647ea05 MD5sum: 7f897826df6b6bec98866c4c64d5e2d4 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-doc Source: nipype Version: 1.9.0-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12996 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Multi-Arch: foreign Homepage: https://nipype.readthedocs.io/en/latest/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.9.0-1~nd24.04+1_all.deb Size: 1236232 SHA256: a4b02b98709aabd3e06f483125a5a9a9cbecb1db66467555a86f441bf398559e SHA1: 805bbc2fb256cbdd62dd8c6e1cd79dd773514cf2 MD5sum: f1c9d21049e724f6363eb5c3aa43ae44 Description: Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python3-datalad Source: datalad Version: 1.1.4-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4343 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, 7zip (>= 23.01+dfsg-4~) | p7zip-full, python3 (>= 3.7), python3-annexremote, python3-boto3, python3-distro, python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.10) | python3-importlib-metadata (>= 3.6~), python3 (>= 3.9) | python3-importlib-resources (>= 3.0~), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-msgpack, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-typing-extensions (>= 3.10.0.2~), python3-tqdm (>= 4.32.0), python3-chardet, python3-packaging, python3:any Recommends: python3-html5lib, python3-httpretty, python3-lzma, python3-pytest (>= 7.0), python3-pyperclip, python3-requests-ftp, python3-vcr Suggests: python3-duecredit, datalad-container, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_1.1.4-1~nd24.04+1_all.deb Size: 899136 SHA256: 1f026630356b2e2ac4b6cdd3f9031aaec7c271dd3e46236afc76781705faed8a SHA1: e60f2bbca622f2ee24b1a9e70ed820ab0b535b59 MD5sum: 9e78f08a2d28d47ce4a2d4df067bfb1d Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-mesonpy Source: meson-python Version: 0.17.1-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 873 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 7.2.2), meson (>= 1.2.3), ninja-build, python3 (>= 3.11), python3-packaging, python3-pyproject-metadata (>= 0.7.1), python3-tomli | python3-supported-min (>= 3.11), python3:any Recommends: patchelf Homepage: https://github.com/mesonbuild/meson-python Priority: optional Section: python Filename: pool/main/m/meson-python/python3-mesonpy_0.17.1-1~nd24.04+1_all.deb Size: 108158 SHA256: d5faffdc5fb69bfd2435ebcb09a26c16f9761aba28198079b02e1e312e77d12c SHA1: f9fb21f2c654c2297cf3479593ad840c3e14b8ce MD5sum: d613816d2936316215075a2629c98b14 Description: Meson PEP 517 Python build backend This package enables Python package authors to use Meson as the build backend for their packages. . Meson is a build system designed to increase programmer productivity. It does this by providing a fast, simple and easy to use interface for modern software development tools and practices. Package: python3-nipy Source: nipy Version: 0.6.1-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3091 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3-transforms3d, python3:any, python3-nipy-lib (>= 0.6.1-1~nd24.04+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.6.1-1~nd24.04+1_all.deb Size: 730766 SHA256: dd57e5fcf596cacd848a86a65e372477dcedcda594c22f9e7cc2cae70804b03c SHA1: 3c01664fd57cfd550e1301ab0024fdf81b8acdf1 MD5sum: 6a88045eb3955a17665805e7b83480d1 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: 0.6.1-1~nd24.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2817 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), python3-numpy (>= 1:1.25.0), python3-numpy-abi9, python3 (<< 3.13), python3 (>= 3.12~) Multi-Arch: same Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.6.1-1~nd24.04+1_amd64.deb Size: 671886 SHA256: 211479f20e0d5f60b344662759cf6c420b602f77421faff3acc09b97e5a9eb5b SHA1: ad01242886fcd5102d2499ca436d0524980531ec MD5sum: 1fd1c47e4c7ce4adfbd105387f14012b 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-nipype Source: nipype Version: 1.9.0-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10890 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-looseversion, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-puremagic, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-dipy, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-pydotplus, python3-pydot, python3-cfflib Suggests: afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: https://nipype.readthedocs.io/en/latest/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.9.0-1~nd24.04+1_all.deb Size: 1960368 SHA256: f96a64720015249c28b21f6f0455be1a2eb2cf6578dbe8bdcbe0909800be4174 SHA1: 92175b1c11ee3012f6dc334556a71e98e56d9055 MD5sum: 0518b123203e18c6a61d591c704ea1b4 Description: Neuroimaging data analysis pipelines in Python3 Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python3-tqdm Source: tqdm Version: 4.66.5-1~nd24.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 313 Depends: neurodebian-popularity-contest, python3:any Homepage: https://tqdm.github.io Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.66.5-1~nd24.04+1_all.deb Size: 91578 SHA256: 781b9b414333d45e96d659612971aa7731c629ecae2ce6129da48a79c1323b05 SHA1: 6e7e75ce2780271db7022fa57b082a017bdb1c87 MD5sum: b23d1f8ca1bc4b1d2256d5a595bfa66d Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool.