Source: datalad Maintainer: NeuroDebian Team Uploaders: Yaroslav Halchenko , Michael Hanke Section: science Priority: optional Build-Depends: debhelper (>= 11), dh-python, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), help2man, patool, p7zip-full, python3 (>= 3.6), python3-all, python3-annexremote, python3-appdirs, python3-argcomplete, python3-dateutil, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-exif, python3-fasteners (>= 0.14~), python3-iso8601, python3-jsmin, python3-github, python3-html5lib, python3-httpretty, python3-humanize, python3-keyrings.alt | python3-keyring (<= 8), python3-keyring, python3-secretstorage, python3-nose (>= 1.3.7-2) | python3-libxmp, python3-mock, python3-msgpack, python3-mutagen, python3-nose, python3-pil, python3-pyperclip, python3-requests, python3-setuptools, python3-simplejson, python3-six, python3-tqdm, python3-vcr, python3-whoosh, python3-wrapt Build-Conflicts: git-annex (= 8.20200226-1) Standards-Version: 4.4.1 Vcs-Browser: https://github.com/datalad/datalad/ Vcs-Git: https://github.com/datalad/datalad.git -b debian Homepage: https://datalad.org Package: datalad Architecture: all Section: science Depends: python3-datalad (= ${binary:Version}), python3-argcomplete, ${misc:Depends}, ${python3:Depends} Suggests: datalad-container, datalad-crawler, datalad-neuroimaging 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: python3-datalad Architecture: all Section: python Depends: 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, ${misc:Depends}, ${python3:Depends} 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) Provides: ${python3:Provides} 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.