Package: bats Version: 1.2.1-2~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_1.2.1-2~nd20.10+1_all.deb Size: 27360 SHA256: 8e1f93826e503129625eafd3fd2f3a06f770b46a19dee68a3d976981d60430d3 SHA1: 6bfae3582a553f47fce6a50ba4db8f36a62a808b MD5sum: f45ed33c084f0cd50263498a88df51db 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: datalad Version: 0.14.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 183 Depends: neurodebian-popularity-contest, python3-datalad (= 0.14.0-1~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_0.14.0-1~nd20.10+1_all.deb Size: 143504 SHA256: 5f3faa3e1d57bbf09da1583428f50c65fedf9450229983e255cf37d1b7ac7917 SHA1: 99a0e4787c4e4d6b7314aad304956c151b792f0f MD5sum: 9bfa37cee2e3abffb6cf9050be961e20 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: 1.1.2-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd20.10+1_all.deb Size: 23872 SHA256: c91439869b4f7c5c1c723b4ce345bd728197b47cb8776d76d8b9e8f4f00699a2 SHA1: c8975c0083785c8e77c6ff98f80650751ecf761d MD5sum: 3efc0401caa47775ca3e2e194575523d Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: nuitka Version: 0.6.11.3+ds-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8434 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, ccache Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.11.3+ds-1~nd20.10+1_all.deb Size: 1004212 SHA256: bb023710864be5f9f433544a6b0e3d657647862af6ab0255f2b408ecc30c8fa8 SHA1: f9e9270db94ffaf5c782240c25a5d5407945658b MD5sum: bd254af828ba6032088b048c448bd936 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: 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: 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: 0.14.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5404 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3 (>= 3.6), python3-appdirs, python3-annexremote, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners (>= 0.14~), 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 Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.14.0-1~nd20.10+1_all.deb Size: 1130328 SHA256: db9b6424e35d5683a4af388643b515850b7c343cc1f323eee6d48c692c9ea927 SHA1: c35f9d4acaa3c6e46de41a5d748af7c8ccf906a7 MD5sum: 825ecdfe047a37830a47bbcd86e641eb 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.