| Name : python3-datalad
| |
| Version : 1.1.5
| Vendor : Fedora Project
|
| Release : 1.fc42
| Date : 2024-12-17 13:09:29
|
| Group : Unspecified
| Source RPM : python-datalad-1.1.5-1.fc42.src.rpm
|
| Size : 10.67 MB
| |
| Packager : Fedora Project
| |
| Summary : Keep code, data, containers under control with git and git-annex
|
Description :
DataLad makes data management and data distribution more accessible. To do
that, it stands on the shoulders of Git and Git-annex to deliver a
decentralized system for data exchange. This includes automated ingestion of
data from online portals and exposing it in readily usable form as Git(-annex)
repositories, so-called datasets. The actual data storage and permission
management, however, remains with the original data providers.
The full documentation is available at https://docs.datalad.org and
https://handbook.datalad.org provides a hands-on crash-course on DataLad
Extensions:
A number of extensions are available that provide additional functionality for
DataLad. Extensions are separate packages that are to be installed in addition
to DataLad. In order to install DataLad customized for a particular domain, one
can simply install an extension directly, and DataLad itself will be
automatically installed with it. An annotated list of extensions is available
in the DataLad handbook.
Support:
The documentation for this project is found here: https://docs.datalad.org
If you have a problem or would like to ask a question about how to use DataLad,
please submit a question to NeuroStars.org with a datalad tag. NeuroStars.org
is a platform similar to StackOverflow but dedicated to neuroinformatics.
All previous DataLad questions are available here:
https://neurostars.org/tags/datalad/
|
RPM found in directory: /vol/rzm3/linux-fedora-buffet/fedora-secondary/development/rawhide/Everything/ppc64le/os/Packages/p |
Hmm ... It's impossible ;-) This RPM doesn't exist on any FTP server
Provides :
datalad
python-datalad
python3-datalad
python3.13-datalad
python3.13dist(datalad)
python3dist(datalad)
Requires :
