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Source: datalad
Maintainer: NeuroDebian Team <team@datalad.org>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>,
Michael Hanke <mih@debian.org>
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.
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