python3-datalad – 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 availability chart

Distribution

Base version

Our version

Architectures

Debian GNU/Linux 10.0 (buster)

0.11.2-2

0.18.3-2~nd100+1

i386, amd64, sparc, armel, arm64, ppc64el

Debian GNU/Linux 11.0 (bullseye)

0.14.0-1

0.19.5-1~nd110+1

i386, amd64, sparc, armel, arm64

Debian GNU/Linux 12.0 (bookworm)

0.18.1-2

0.19.6-1~nd120+1

i386, amd64, sparc, armel, arm64

Debian GNU/Linux 9.0 (stretch)

0.4.1-1

0.13.7-1~nd90+1

i386, amd64, sparc, armel, arm64

Debian testing (trixie)

0.19.6-2

Debian unstable (sid)

0.19.6-2

0.19.6-1~nd+1

i386, amd64, sparc, armel, arm64

Ubuntu 16.04 “Xenial Xerus” (xenial)

0.11.6-1~nd16.04+1

i386, amd64, sparc, armel, arm64

Ubuntu 18.04 “Bionic Beaver” (bionic)

0.9.3-1

0.14.7-1~nd18.04+1

i386, amd64, sparc, armel, arm64

Ubuntu 20.04 “Focal Fossa” (focal)

0.12.4-2

0.18.3-2~nd20.04+1

i386, amd64, sparc, armel, arm64

Ubuntu 22.04 “Jammy Jellyfish” (jammy)

0.15.5-1

0.19.5-1~nd22.04+1

i386, amd64, sparc, armel, arm64

Comments

blog comments powered by Disqus