Package: bats Version: 1.2.1-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.2.1-1~nd20.10+1_all.deb Size: 27264 SHA256: 7b10ec80ceb6b4203c786a251bd4f5ecce5648bdf2adf751425c743247508eb5 SHA1: cd28af191d1e0a4e600d183a7d4f83494e02a22d MD5sum: 73d3b6129d104c1b2218c16001d83456 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: connectome-workbench Version: 1.4.2-2~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 49113 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libftgl2 (>= 2.4.0), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 6), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.14.1), libqt5gui5 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5 (>= 5.14.1), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.14.1), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 9), 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_1.4.2-2~nd20.10+1_amd64.deb Size: 21000768 SHA256: 9c81be77cb6b6c28ca52237bf963199efbd4146fcac01dbb113356d5fb936687 SHA1: cf72396b3af68dc02f1da17f5bcb14ff9268d2d5 MD5sum: 8cdc4abead9b02c57f8711c0c900b557 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: 1.4.2-2~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 258865 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.4.2-2~nd20.10+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.4.2-2~nd20.10+1_amd64.deb Size: 256403820 SHA256: 9df361b5abfa3f0ed4ae51f4c8ce2541c971099509b3535092f0b9f51c8fadd9 SHA1: 850a45da7891bb57a71af2cda0b69cf6742cca77 MD5sum: a2101b3f8961aefe148eb4a1f91ad4dc 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: 8c51b4daf9d007ea3eaa8c8673d359c0b3fe570d 8de5fd1d24225b68936554e7c5cdd402294a30f2 Package: datalad Version: 0.13.7-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 178 Depends: neurodebian-popularity-contest, python3-datalad (= 0.13.7-1~nd20.10+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.13.7-1~nd20.10+1_all.deb Size: 137320 SHA256: f3c3d01584cfa0d608aec0a3c60a620e8b179f9236840a05288b947192659db0 SHA1: a5110da2a405301282fdd44cb9a7565bfcbdfa5f MD5sum: 3c6c292079f5b04c6d9a9d7f7ec6c731 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: 1.1.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 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_1.1.0-1~nd20.10+1_all.deb Size: 23708 SHA256: 84df36348b50d902b2151de31d9b9f30db83bdd700b0ef96102e2f38d15a4748 SHA1: e4d72a68cc5e4f605b46ee5ce939c92e5329df6a MD5sum: 32913f16b999b355ca82d61efddd3e52 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20201102-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc-s1 (>= 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_1.0.20201102-1~nd20.10+1_amd64.deb Size: 219788 SHA256: b6fef4485f2a1a464b60016a43a5c06ac60883b74089b45cc70f14bfe5833298 SHA1: 05dbcced589811c52edf02d33f289d48976bb681 MD5sum: f0a4d4d32e8525db0f5389f8d720baab 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: git-annex-standalone Source: git-annex Version: 7.20190819+git2-g908476a9b-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 184189 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, 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 (<= 0.11.1~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_7.20190819+git2-g908476a9b-1~ndall+1_amd64.deb Size: 64134894 SHA256: bc7d8291aa81c8e4427ac7ececab2ad92bfde095c91b782ff9344b76618e5b35 SHA1: cff95217b97d95912170e062cfa238c57410a3fa MD5sum: 0ea5994957513670410561a78f4f6f89 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . 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 a dozen 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: nuitka Version: 0.6.10.5+ds-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8258 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-appdirs | base-files (<< 7.2), python3-dev, base-files (>= 11) | python-dev (>= 2.6.6-2), python3:any (>= 3.3~) Recommends: python3-lxml, strace, chrpath Suggests: ccache Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.10.5+ds-1~nd20.10+1_all.deb Size: 973768 SHA256: 3eb573273bb70611813f6c32d6171f9bfb9750c030e5f6173e0cb8c4bc4d7ddb SHA1: 051676332da572ad1c35d1f1200b095a62fc1ddf MD5sum: 5a410f962641e60279e29869cb34d0b2 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-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5523 Depends: neurodebian-popularity-contest, octave (>= 5.2.0), freeglut3 (>= 2.8.1), libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-25 (>= 2.2.6), libfreenect0.5 (>= 1:0.1.1), libgcc-s1 (>= 3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.6.0), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 9), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.6.12), libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.17.6.dfsg1-1~nd20.10+1), psychtoolbox-3-lib (= 3.0.17.6.dfsg1-1~nd20.10+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_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 1052292 SHA256: d282a2f245dbae4a0b3992dc4ad026c1d9d1c8a894ab3d36bb91f3fdb3433745 SHA1: 113e2c428c2f814a53550ea80657fd964e31fde2 MD5sum: 8db1757a40399f8fe1be195e18fb33eb 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: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 657424 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_3.0.17.6.dfsg1-1~nd20.10+1_all.deb Size: 32495684 SHA256: 2cafa072599fdb80ea3a33550a6d6cbdaf58e988a4bbfa315276a73c8ec7bc2b SHA1: 5825cca81e445a3a6abb264bc8f88e1d2bdc8315 MD5sum: 38b60c8b7a754c357ecb7f07be78a52e 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: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 253 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.17.6.dfsg1-1~nd20.10+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 174168 SHA256: b83a184ee2f1ca237a33c19ffbf6b1168bea1f43e8e9ee12f69e7b50ba9e3108 SHA1: d97206b7b32df495ab4696a5d68e809108fd23cf MD5sum: 28d255b189528746a87c1a10b7c79e8b 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: 1f474889245f39c1ed1e0b2ef665994ab3d91abd 55f28a6f447c7961ae391c43a56571d9f5e71d18 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 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, libvulkan1 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 76304 SHA256: f94d55f71a8ff2ff56be1f6e81c24c25d370ff434570684f70418d725285819b SHA1: 0a0c9b8a61f71f3af0a50faedd9c0d15a59e51c3 MD5sum: adcec1f2036aee5113ccf5e23ca88159 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-nibabel-doc Source: nibabel Version: 3.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10686 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: https://nipy.org/nibabel/ Priority: optional Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_3.2.1-2~nd20.10+1_all.deb Size: 1609716 SHA256: 8502fbe30696a52af7bf455697d05e742cfdf3950e4b995431bf9d1add6f56eb SHA1: ef2e95a3291dbfd76db2047d6ecefed4c5220278 MD5sum: 61d6f5b597a51153fb6a1327f785470a 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-nipype-doc Source: nipype Version: 1.6.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12444 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.6.0-1~nd20.10+1_all.deb Size: 1252992 SHA256: 52c90ef9a0bce84498e8c076e31af0ed96e850506a2541954454c7dc3a261afe SHA1: eeec2fa939d28498601f94ded07c00e288b7f62b MD5sum: 1e81aa2eee8f1741cae698bf700050a8 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: 0.13.7-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5322 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3-appdirs, python3-annexremote, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners, python3-gitlab, python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any Recommends: python3-boto, python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.13.7-1~nd20.10+1_all.deb Size: 1110232 SHA256: 9f5fce3daa0b47ab46a7b38e47df0ae617b1ead6ae7f3fcd2dc3a9bb77bcf450 SHA1: e332a2e2ae1619e3ff1b7105a9321e6d6c9ba37b MD5sum: aed57a28f529cf6c2567a554019e995e 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-nibabel Source: nibabel Version: 3.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65965 Depends: neurodebian-popularity-contest, python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six Recommends: python3-pydicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Breaks: python-nibabel Replaces: python-nibabel Homepage: https://nipy.org/nibabel/ Priority: optional Section: python Filename: pool/main/n/nibabel/python3-nibabel_3.2.1-2~nd20.10+1_all.deb Size: 2689456 SHA256: 5afc08b3aed794fad63202e389f8c56d1449080d11b0c70fef767999b20af572 SHA1: 816222bf57fa489eaaad5c61e1742a50cb6c9098 MD5sum: 7b2bdd66f231a5af95dcfd002992f5b9 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-nipype Source: nipype Version: 1.6.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10711 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-funcsigs, python3-future, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-mock, python3-pydotplus, python3-pydot, python3-cfflib Suggests: fsl, afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.6.0-1~nd20.10+1_all.deb Size: 1842664 SHA256: 6b98a3bb2321d557baa0648dae1ae8ca466ea061ea5c8b0234f85aca804d43cc SHA1: ad0cff8ab38f592e194f5060b418e0399c14ef17 MD5sum: 4b52d4e7a712106302b4b8fd14723c89 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-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 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_0.2.1-2~nd20.10+1_all.deb Size: 7484 SHA256: 2870a9a128bf8b7f6f380c004f2a3b9e1f8013d3f88e6befba5fc6d37d4b5689 SHA1: 657d23707e89f99de6679e7971369374dbf28c9c MD5sum: 0e4247cd121a337ad066b156fd3bcc0e 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.