Ubuntu
datalad package

datalad 0.17.1-1 source package in Ubuntu

Changelog

datalad (0.17.1-1) unstable; urgency=medium

  * Fresh upstream release
    - switched to pytest from nose, d/{control,rules} were adjusted
  * d/patches - refreshed to account for switching to pytest etc

 -- Yaroslav Halchenko <email address hidden>  Mon, 11 Jul 2022 17:18:25 -0400

Upload details

Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
datalad_0.17.1-1.dsc 2.8 KiB 2d0253d4ad4487d10ee8b9eaf0117d55731d25228a87bcf127d72024cd11f76e
datalad_0.17.1.orig.tar.gz 1.4 MiB 904579e429a7f17235c3682882a5052acea1dcf030668e9c314ea4681b3ce83c
datalad_0.17.1-1.debian.tar.xz 12.9 KiB 3b8d004339e609a9d1fef107586f736b41e054bd3ed94fbba9b794024f47dd5c

Available diffs

No changes file available.

Binary packages built by this source

datalad: No summary available for datalad in ubuntu kinetic.

No description available for datalad in ubuntu kinetic.

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.