Name | datalad JSON |
Version |
1.1.3
JSON |
| download |
home_page | None |
Summary | data distribution geared toward scientific datasets |
upload_time | 2024-08-08 02:59:26 |
maintainer | None |
docs_url | None |
author | The DataLad Team and Contributors |
requires_python | >=3.8 |
license | None |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
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Read me
[![DOI](https://joss.theoj.org/papers/10.21105/joss.03262/status.svg)](https://doi.org/10.21105/joss.03262)
[![Test Status](https://github.com/datalad/datalad/actions/workflows/test.yml/badge.svg)](https://github.com/datalad/datalad/actions/workflows/test.yml)
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[![Supported Python versions](https://img.shields.io/pypi/pyversions/datalad)](https://pypi.org/project/datalad/)
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[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](https://github.com/datalad/datalad/blob/master/CODE_OF_CONDUCT.md)
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<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
[![All Contributors](https://img.shields.io/badge/all_contributors-52-orange.svg?style=flat-square)](#contributors-)
<!-- ALL-CONTRIBUTORS-BADGE:END -->
## Distribution
[![Anaconda](https://anaconda.org/conda-forge/datalad/badges/version.svg)](https://anaconda.org/conda-forge/datalad)
[![Arch (AUR)](https://repology.org/badge/version-for-repo/aur/datalad.svg?header=Arch%20%28%41%55%52%29)](https://repology.org/project/datalad/versions)
[![Debian Stable](https://badges.debian.net/badges/debian/stable/datalad/version.svg)](https://packages.debian.org/stable/datalad)
[![Debian Unstable](https://badges.debian.net/badges/debian/unstable/datalad/version.svg)](https://packages.debian.org/unstable/datalad)
[![Fedora Rawhide package](https://repology.org/badge/version-for-repo/fedora_rawhide/datalad.svg?header=Fedora%20%28rawhide%29)](https://repology.org/project/datalad/versions)
[![Gentoo (::science)](https://repology.org/badge/version-for-repo/gentoo_ovl_science/datalad.svg?header=Gentoo%20%28%3A%3Ascience%29)](https://repology.org/project/datalad/versions)
[![PyPI package](https://repology.org/badge/version-for-repo/pypi/datalad.svg?header=PyPI)](https://repology.org/project/datalad/versions)
# 10000-ft. overview
DataLad's purpose is to make data management and data distribution more accessible.
To do so, 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 - or datasets. However, the actual data storage and permission
management remains with the original data provider(s).
The full documentation is available at http://docs.datalad.org and
http://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](http://handbook.datalad.org/extension_pkgs.html) is available in
the [DataLad handbook](http://handbook.datalad.org).
# Support
The documentation for this project is found here:
http://docs.datalad.org
All bugs, concerns, and enhancement requests for this software can be submitted here:
https://github.com/datalad/datalad/issues
If you have a problem or would like to ask a question about how to use DataLad,
please [submit a question to
NeuroStars.org](https://neurostars.org/new-topic?body=-%20Please%20describe%20the%20problem.%0A-%20What%20steps%20will%20reproduce%20the%20problem%3F%0A-%20What%20version%20of%20DataLad%20are%20you%20using%20%28run%20%60datalad%20--version%60%29%3F%20On%20what%20operating%20system%20%28consider%20running%20%60datalad%20plugin%20wtf%60%29%3F%0A-%20Please%20provide%20any%20additional%20information%20below.%0A-%20Have%20you%20had%20any%20luck%20using%20DataLad%20before%3F%20%28Sometimes%20we%20get%20tired%20of%20reading%20bug%20reports%20all%20day%20and%20a%20lil'%20positive%20end%20note%20does%20wonders%29&tags=datalad)
with a `datalad` tag. NeuroStars.org is a platform similar to StackOverflow
but dedicated to neuroinformatics.
All previous DataLad questions are available here:
http://neurostars.org/tags/datalad/
# Installation
## Debian-based systems
On Debian-based systems, we recommend enabling [NeuroDebian], via which we
provide recent releases of DataLad. Once enabled, just do:
apt-get install datalad
## Gentoo-based systems
On Gentoo-based systems (i.e. all systems whose package manager can parse ebuilds as per the [Package Manager Specification]), we recommend [enabling the ::science overlay], via which we
provide recent releases of DataLad. Once enabled, just run:
emerge datalad
## Other Linux'es via conda
conda install -c conda-forge datalad
will install the most recently released version, and release candidates are
available via
conda install -c conda-forge/label/rc datalad
## Other Linux'es, macOS via pip
Before you install this package, please make sure that you [install a recent
version of git-annex](https://git-annex.branchable.com/install). Afterwards,
install the latest version of `datalad` from
[PyPI](https://pypi.org/project/datalad). It is recommended to use
a dedicated [virtualenv](https://virtualenv.pypa.io):
# Create and enter a new virtual environment (optional)
virtualenv --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# Install from PyPI
pip install datalad
By default, installation via pip installs the core functionality of DataLad,
allowing for managing datasets etc. Additional installation schemes
are available, so you can request enhanced installation via
`pip install datalad[SCHEME]`, where `SCHEME` could be:
- `tests`
to also install dependencies used by DataLad's battery of unit tests
- `full`
to install all dependencies.
More details on installation and initial configuration can be found in the
[DataLad Handbook: Installation].
# License
MIT/Expat
# Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) if you are interested in internals or
contributing to the project.
## Acknowledgements
The DataLad project received support through the following grants:
- US-German collaboration in computational neuroscience (CRCNS) project
"DataGit: converging catalogues, warehouses, and deployment logistics into a
federated 'data distribution'" (Halchenko/Hanke), co-funded by the US National
Science Foundation (NSF 1429999) and the German Federal Ministry of
Education and Research (BMBF 01GQ1411).
- CRCNS US-German Data Sharing "DataLad - a decentralized system for integrated
discovery, management, and publication of digital objects of science"
(Halchenko/Pestilli/Hanke), co-funded by the US National Science Foundation
(NSF 1912266) and the German Federal Ministry of Education and Research
(BMBF 01GQ1905).
- Helmholtz Research Center Jülich, FDM challenge 2022
- German federal state of Saxony-Anhalt and the European Regional Development
Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform
- ReproNim project (NIH 1P41EB019936-01A1).
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant
SFB 1451 ([431549029](https://gepris.dfg.de/gepris/projekt/431549029),
INF project)
- European Union’s Horizon 2020 research and innovation programme under grant
agreements:
- [Human Brain Project SGA3 (H2020-EU.3.1.5.3, grant no. 945539)](https://cordis.europa.eu/project/id/945539)
- [VirtualBrainCloud (H2020-EU.3.1.5.3, grant no. 826421)](https://cordis.europa.eu/project/id/826421)
Mac mini instance for development is provided by
[MacStadium](https://www.macstadium.com/).
### Contributors ✨
Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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<table>
<tbody>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/glalteva"><img src="https://avatars2.githubusercontent.com/u/14296143?v=4?s=100" width="100px;" alt="glalteva"/><br /><sub><b>glalteva</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=glalteva" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/soichih"><img src="https://avatars3.githubusercontent.com/u/923896?v=4?s=100" width="100px;" alt="soichih"/><br /><sub><b>soichih</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=soichih" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/mvdoc"><img src="https://avatars1.githubusercontent.com/u/6150554?v=4?s=100" width="100px;" alt="mvdoc"/><br /><sub><b>mvdoc</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=mvdoc" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/mih"><img src="https://avatars1.githubusercontent.com/u/136479?v=4?s=100" width="100px;" alt="mih"/><br /><sub><b>mih</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=mih" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/jhpoelen"><img src="https://avatars2.githubusercontent.com/u/1084872?v=4?s=100" width="100px;" alt="jhpoelen"/><br /><sub><b>jhpoelen</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=jhpoelen" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/nicholsn"><img src="https://avatars3.githubusercontent.com/u/463344?v=4?s=100" width="100px;" alt="nicholsn"/><br /><sub><b>nicholsn</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=nicholsn" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/adelavega"><img src="https://avatars0.githubusercontent.com/u/2774448?v=4?s=100" width="100px;" alt="adelavega"/><br /><sub><b>adelavega</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=adelavega" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/kskyten"><img src="https://avatars0.githubusercontent.com/u/4163878?v=4?s=100" width="100px;" alt="kskyten"/><br /><sub><b>kskyten</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=kskyten" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/TheChymera"><img src="https://avatars2.githubusercontent.com/u/950524?v=4?s=100" width="100px;" alt="TheChymera"/><br /><sub><b>TheChymera</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=TheChymera" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/effigies"><img src="https://avatars0.githubusercontent.com/u/83442?v=4?s=100" width="100px;" alt="effigies"/><br /><sub><b>effigies</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=effigies" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/jgors"><img src="https://avatars1.githubusercontent.com/u/386585?v=4?s=100" width="100px;" alt="jgors"/><br /><sub><b>jgors</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=jgors" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/emdupre"><img src="https://avatars3.githubusercontent.com/u/15017191?v=4?s=100" width="100px;" alt="emdupre"/><br /><sub><b>emdupre</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=emdupre" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/aqw"><img src="https://avatars0.githubusercontent.com/u/765557?v=4?s=100" width="100px;" alt="aqw"/><br /><sub><b>aqw</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=aqw" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/vsoch"><img src="https://avatars0.githubusercontent.com/u/814322?v=4?s=100" width="100px;" alt="vsoch"/><br /><sub><b>vsoch</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=vsoch" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/kyleam"><img src="https://avatars2.githubusercontent.com/u/1297788?v=4?s=100" width="100px;" alt="kyleam"/><br /><sub><b>kyleam</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=kyleam" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/driusan"><img src="https://avatars0.githubusercontent.com/u/498329?v=4?s=100" width="100px;" alt="driusan"/><br /><sub><b>driusan</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=driusan" title="Code">💻</a></td>
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<td align="center" valign="top" width="14.28%"><a href="https://github.com/bpoldrack"><img src="https://avatars2.githubusercontent.com/u/10498301?v=4?s=100" width="100px;" alt="bpoldrack"/><br /><sub><b>bpoldrack</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=bpoldrack" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/yetanothertestuser"><img src="https://avatars0.githubusercontent.com/u/19335420?v=4?s=100" width="100px;" alt="yetanothertestuser"/><br /><sub><b>yetanothertestuser</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=yetanothertestuser" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/christian-monch"><img src="https://avatars.githubusercontent.com/u/17925232?v=4?s=100" width="100px;" alt="Christian Mönch"/><br /><sub><b>Christian Mönch</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=christian-monch" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/mattcieslak"><img src="https://avatars.githubusercontent.com/u/170026?v=4?s=100" width="100px;" alt="Matt Cieslak"/><br /><sub><b>Matt Cieslak</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=mattcieslak" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/mikapfl"><img src="https://avatars.githubusercontent.com/u/7226087?v=4?s=100" width="100px;" alt="Mika Pflüger"/><br /><sub><b>Mika Pflüger</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=mikapfl" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://me.ypid.de/"><img src="https://avatars.githubusercontent.com/u/1301158?v=4?s=100" width="100px;" alt="Robin Schneider"/><br /><sub><b>Robin Schneider</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=ypid" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://orcid.org/0000-0003-4652-3758"><img src="https://avatars.githubusercontent.com/u/7570456?v=4?s=100" width="100px;" alt="Sin Kim"/><br /><sub><b>Sin Kim</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=kimsin98" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/DisasterMo"><img src="https://avatars.githubusercontent.com/u/49207524?v=4?s=100" width="100px;" alt="Michael Burgardt"/><br /><sub><b>Michael Burgardt</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=DisasterMo" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://remi-gau.github.io/"><img src="https://avatars.githubusercontent.com/u/6961185?v=4?s=100" width="100px;" alt="Remi Gau"/><br /><sub><b>Remi Gau</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=Remi-Gau" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/mslw"><img src="https://avatars.githubusercontent.com/u/11985212?v=4?s=100" width="100px;" alt="Michał Szczepanik"/><br /><sub><b>Michał Szczepanik</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=mslw" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/bpinsard"><img src="https://avatars.githubusercontent.com/u/1155388?v=4?s=100" width="100px;" alt="Basile"/><br /><sub><b>Basile</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=bpinsard" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/taylols"><img src="https://avatars.githubusercontent.com/u/28018084?v=4?s=100" width="100px;" alt="Taylor Olson"/><br /><sub><b>Taylor Olson</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=taylols" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://jdkent.github.io/"><img src="https://avatars.githubusercontent.com/u/12564882?v=4?s=100" width="100px;" alt="James Kent"/><br /><sub><b>James Kent</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=jdkent" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/xgui3783"><img src="https://avatars.githubusercontent.com/u/19381783?v=4?s=100" width="100px;" alt="xgui3783"/><br /><sub><b>xgui3783</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=xgui3783" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/tstoeter"><img src="https://avatars.githubusercontent.com/u/4901704?v=4?s=100" width="100px;" alt="tstoeter"/><br /><sub><b>tstoeter</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=tstoeter" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://jsheunis.github.io/"><img src="https://avatars.githubusercontent.com/u/10141237?v=4?s=100" width="100px;" alt="Stephan Heunis"/><br /><sub><b>Stephan Heunis</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=jsheunis" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://www.mmmccormick.com"><img src="https://avatars.githubusercontent.com/u/25432?v=4?s=100" width="100px;" alt="Matt McCormick"/><br /><sub><b>Matt McCormick</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=thewtex" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/vickychenglau"><img src="https://avatars.githubusercontent.com/u/22065437?v=4?s=100" width="100px;" alt="Vicky C Lau"/><br /><sub><b>Vicky C Lau</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=vickychenglau" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://chris-lamb.co.uk"><img src="https://avatars.githubusercontent.com/u/133209?v=4?s=100" width="100px;" alt="Chris Lamb"/><br /><sub><b>Chris Lamb</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=lamby" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/asmacdo"><img src="https://avatars.githubusercontent.com/u/1028657?v=4?s=100" width="100px;" alt="Austin Macdonald"/><br /><sub><b>Austin Macdonald</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=asmacdo" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://nobodyinperson.de"><img src="https://avatars.githubusercontent.com/u/19148271?v=4?s=100" width="100px;" alt="Yann Büchau"/><br /><sub><b>Yann Büchau</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=nobodyinperson" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/matrss"><img src="https://avatars.githubusercontent.com/u/9308656?v=4?s=100" width="100px;" alt="Matthias Riße"/><br /><sub><b>Matthias Riße</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=matrss" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/Aksoo"><img src="https://avatars.githubusercontent.com/u/141905668?v=4?s=100" width="100px;" alt="Aksoo"/><br /><sub><b>Aksoo</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=Aksoo" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/dguibert"><img src="https://avatars.githubusercontent.com/u/1178864?v=4?s=100" width="100px;" alt="David Guibert"/><br /><sub><b>David Guibert</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=dguibert" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/alliesw"><img src="https://avatars.githubusercontent.com/u/72238329?v=4?s=100" width="100px;" alt="Alex Shields-Weber"/><br /><sub><b>Alex Shields-Weber</b></sub></a><br /><a href="https://github.com/datalad/datalad/commits?author=alliesw" title="Code">💻</a></td>
</tr>
</tbody>
</table>
<!-- markdownlint-restore -->
<!-- prettier-ignore-end -->
<!-- ALL-CONTRIBUTORS-LIST:END -->
[![macstadium](https://uploads-ssl.webflow.com/5ac3c046c82724970fc60918/5c019d917bba312af7553b49_MacStadium-developerlogo.png)](https://www.macstadium.com/)
[Git]: https://git-scm.com
[Git-annex]: http://git-annex.branchable.com
[setup.py]: https://github.com/datalad/datalad/blob/master/setup.py
[NeuroDebian]: http://neuro.debian.net
[Package Manager Specification]: https://projects.gentoo.org/pms/latest/pms.html
[enabling the ::science overlay]: https://github.com/gentoo/sci#manual-install-
[DataLad Handbook: Installation]: http://handbook.datalad.org/en/latest/intro/installation.html
Raw data
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"platform": null,
"description": " ____ _ _ _\n | _ \\ __ _ | |_ __ _ | | __ _ __| |\n | | | | / _` | | __| / _` | | | / _` | / _` |\n | |_| | | (_| | | |_ | (_| | | |___ | (_| | | (_| |\n |____/ \\__,_| \\__| \\__,_| |_____| \\__,_| \\__,_|\n Read me\n\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.03262/status.svg)](https://doi.org/10.21105/joss.03262)\n[![Test Status](https://github.com/datalad/datalad/actions/workflows/test.yml/badge.svg)](https://github.com/datalad/datalad/actions/workflows/test.yml)\n[![Build status](https://ci.appveyor.com/api/projects/status/github/datalad/datalad?branch=master&svg=true)](https://ci.appveyor.com/project/mih/datalad/branch/master)\n[![Extensions](https://github.com/datalad/datalad/actions/workflows/test_extensions.yml/badge.svg)](https://github.com/datalad/datalad/actions/workflows/test_extensions.yml)\n[![Linters](https://github.com/datalad/datalad/actions/workflows/lint.yml/badge.svg)](https://github.com/datalad/datalad/actions/workflows/lint.yml)\n[![codecov.io](https://codecov.io/github/datalad/datalad/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad?branch=master)\n[![Documentation](https://readthedocs.org/projects/datalad/badge/?version=latest)](http://datalad.rtfd.org)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![GitHub release](https://img.shields.io/github/release/datalad/datalad.svg)](https://GitHub.com/datalad/datalad/releases/)\n[![Supported Python versions](https://img.shields.io/pypi/pyversions/datalad)](https://pypi.org/project/datalad/)\n[![Testimonials 4](https://img.shields.io/badge/testimonials-4-brightgreen.svg)](https://github.com/datalad/datalad/wiki/Testimonials)\n[![https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg](https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg)](https://singularity-hub.org/collections/667)\n[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](https://github.com/datalad/datalad/blob/master/CODE_OF_CONDUCT.md)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.808846.svg)](https://doi.org/10.5281/zenodo.808846)\n[![RRID](https://img.shields.io/badge/RRID-SCR__003931-blue)](https://identifiers.org/RRID:SCR_003931)\n<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https://img.shields.io/badge/all_contributors-52-orange.svg?style=flat-square)](#contributors-)\n<!-- ALL-CONTRIBUTORS-BADGE:END -->\n\n## Distribution\n\n[![Anaconda](https://anaconda.org/conda-forge/datalad/badges/version.svg)](https://anaconda.org/conda-forge/datalad)\n[![Arch (AUR)](https://repology.org/badge/version-for-repo/aur/datalad.svg?header=Arch%20%28%41%55%52%29)](https://repology.org/project/datalad/versions)\n[![Debian Stable](https://badges.debian.net/badges/debian/stable/datalad/version.svg)](https://packages.debian.org/stable/datalad)\n[![Debian Unstable](https://badges.debian.net/badges/debian/unstable/datalad/version.svg)](https://packages.debian.org/unstable/datalad)\n[![Fedora Rawhide package](https://repology.org/badge/version-for-repo/fedora_rawhide/datalad.svg?header=Fedora%20%28rawhide%29)](https://repology.org/project/datalad/versions)\n[![Gentoo (::science)](https://repology.org/badge/version-for-repo/gentoo_ovl_science/datalad.svg?header=Gentoo%20%28%3A%3Ascience%29)](https://repology.org/project/datalad/versions)\n[![PyPI package](https://repology.org/badge/version-for-repo/pypi/datalad.svg?header=PyPI)](https://repology.org/project/datalad/versions)\n\n# 10000-ft. overview\n\nDataLad's purpose is to make data management and data distribution more accessible. \nTo do so, it stands on the shoulders of [Git] and [Git-annex] to deliver a\ndecentralized system for data exchange. This includes automated ingestion of\ndata from online portals and exposing it in readily usable form as Git(-annex)\nrepositories - or datasets. However, the actual data storage and permission\nmanagement remains with the original data provider(s).\n\nThe full documentation is available at http://docs.datalad.org and\nhttp://handbook.datalad.org provides a hands-on crash-course on DataLad.\n\n# Extensions\n\nA number of extensions are available that provide additional functionality for\nDataLad. Extensions are separate packages that are to be installed in addition\nto DataLad. In order to install DataLad customized for a particular domain, one\ncan simply install an extension directly, and DataLad itself will be\nautomatically installed with it. An [annotated list of\nextensions](http://handbook.datalad.org/extension_pkgs.html) is available in\nthe [DataLad handbook](http://handbook.datalad.org).\n\n\n# Support\n\nThe documentation for this project is found here:\nhttp://docs.datalad.org\n\nAll bugs, concerns, and enhancement requests for this software can be submitted here:\nhttps://github.com/datalad/datalad/issues\n\nIf you have a problem or would like to ask a question about how to use DataLad,\nplease [submit a question to\nNeuroStars.org](https://neurostars.org/new-topic?body=-%20Please%20describe%20the%20problem.%0A-%20What%20steps%20will%20reproduce%20the%20problem%3F%0A-%20What%20version%20of%20DataLad%20are%20you%20using%20%28run%20%60datalad%20--version%60%29%3F%20On%20what%20operating%20system%20%28consider%20running%20%60datalad%20plugin%20wtf%60%29%3F%0A-%20Please%20provide%20any%20additional%20information%20below.%0A-%20Have%20you%20had%20any%20luck%20using%20DataLad%20before%3F%20%28Sometimes%20we%20get%20tired%20of%20reading%20bug%20reports%20all%20day%20and%20a%20lil'%20positive%20end%20note%20does%20wonders%29&tags=datalad)\nwith a `datalad` tag. NeuroStars.org is a platform similar to StackOverflow\nbut dedicated to neuroinformatics.\n\nAll previous DataLad questions are available here:\nhttp://neurostars.org/tags/datalad/\n\n\n# Installation\n\n## Debian-based systems\n\nOn Debian-based systems, we recommend enabling [NeuroDebian], via which we\nprovide recent releases of DataLad. Once enabled, just do:\n\n apt-get install datalad\n\n## Gentoo-based systems\n\nOn Gentoo-based systems (i.e. all systems whose package manager can parse ebuilds as per the [Package Manager Specification]), we recommend [enabling the ::science overlay], via which we\nprovide recent releases of DataLad. Once enabled, just run:\n\n emerge datalad\n\n## Other Linux'es via conda\n\n conda install -c conda-forge datalad\n\nwill install the most recently released version, and release candidates are\navailable via\n\n conda install -c conda-forge/label/rc datalad\n\n## Other Linux'es, macOS via pip\n\nBefore you install this package, please make sure that you [install a recent\nversion of git-annex](https://git-annex.branchable.com/install). Afterwards,\ninstall the latest version of `datalad` from\n[PyPI](https://pypi.org/project/datalad). It is recommended to use\na dedicated [virtualenv](https://virtualenv.pypa.io):\n\n # Create and enter a new virtual environment (optional)\n virtualenv --python=python3 ~/env/datalad\n . ~/env/datalad/bin/activate\n\n # Install from PyPI\n pip install datalad\n\nBy default, installation via pip installs the core functionality of DataLad,\nallowing for managing datasets etc. Additional installation schemes\nare available, so you can request enhanced installation via\n`pip install datalad[SCHEME]`, where `SCHEME` could be:\n\n- `tests`\n to also install dependencies used by DataLad's battery of unit tests\n- `full`\n to install all dependencies.\n\nMore details on installation and initial configuration can be found in the\n[DataLad Handbook: Installation].\n\n# License\n\nMIT/Expat\n\n\n# Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) if you are interested in internals or\ncontributing to the project.\n\n## Acknowledgements\n\nThe DataLad project received support through the following grants:\n\n- US-German collaboration in computational neuroscience (CRCNS) project\n \"DataGit: converging catalogues, warehouses, and deployment logistics into a\n federated 'data distribution'\" (Halchenko/Hanke), co-funded by the US National\n Science Foundation (NSF 1429999) and the German Federal Ministry of\n Education and Research (BMBF 01GQ1411).\n\n- CRCNS US-German Data Sharing \"DataLad - a decentralized system for integrated\n discovery, management, and publication of digital objects of science\"\n (Halchenko/Pestilli/Hanke), co-funded by the US National Science Foundation\n (NSF 1912266) and the German Federal Ministry of Education and Research\n (BMBF 01GQ1905).\n\n- Helmholtz Research Center J\u00fclich, FDM challenge 2022\n\n- German federal state of Saxony-Anhalt and the European Regional Development\n Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform\n\n- ReproNim project (NIH 1P41EB019936-01A1).\n\n- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant\n SFB 1451 ([431549029](https://gepris.dfg.de/gepris/projekt/431549029),\n INF project)\n\n- European Union\u2019s Horizon 2020 research and innovation programme under grant\n agreements:\n - [Human Brain Project SGA3 (H2020-EU.3.1.5.3, grant no. 945539)](https://cordis.europa.eu/project/id/945539)\n - [VirtualBrainCloud (H2020-EU.3.1.5.3, grant no. 826421)](https://cordis.europa.eu/project/id/826421)\n\nMac mini instance for development is provided by\n[MacStadium](https://www.macstadium.com/).\n\n\n### Contributors \u2728\n\nThanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n<table>\n <tbody>\n <tr>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/glalteva\"><img src=\"https://avatars2.githubusercontent.com/u/14296143?v=4?s=100\" width=\"100px;\" alt=\"glalteva\"/><br /><sub><b>glalteva</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=glalteva\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/adswa\"><img src=\"https://avatars1.githubusercontent.com/u/29738718?v=4?s=100\" width=\"100px;\" alt=\"adswa\"/><br /><sub><b>adswa</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=adswa\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/chrhaeusler\"><img src=\"https://avatars0.githubusercontent.com/u/8115807?v=4?s=100\" width=\"100px;\" alt=\"chrhaeusler\"/><br /><sub><b>chrhaeusler</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=chrhaeusler\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/soichih\"><img src=\"https://avatars3.githubusercontent.com/u/923896?v=4?s=100\" width=\"100px;\" alt=\"soichih\"/><br /><sub><b>soichih</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=soichih\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/mvdoc\"><img src=\"https://avatars1.githubusercontent.com/u/6150554?v=4?s=100\" width=\"100px;\" alt=\"mvdoc\"/><br /><sub><b>mvdoc</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=mvdoc\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/mih\"><img src=\"https://avatars1.githubusercontent.com/u/136479?v=4?s=100\" width=\"100px;\" alt=\"mih\"/><br /><sub><b>mih</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=mih\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/yarikoptic\"><img src=\"https://avatars3.githubusercontent.com/u/39889?v=4?s=100\" width=\"100px;\" alt=\"yarikoptic\"/><br /><sub><b>yarikoptic</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=yarikoptic\" title=\"Code\">\ud83d\udcbb</a></td>\n </tr>\n <tr>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/loj\"><img src=\"https://avatars2.githubusercontent.com/u/15157717?v=4?s=100\" width=\"100px;\" alt=\"loj\"/><br /><sub><b>loj</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=loj\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/feilong\"><img src=\"https://avatars2.githubusercontent.com/u/2242261?v=4?s=100\" width=\"100px;\" alt=\"feilong\"/><br /><sub><b>feilong</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=feilong\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/jhpoelen\"><img src=\"https://avatars2.githubusercontent.com/u/1084872?v=4?s=100\" width=\"100px;\" alt=\"jhpoelen\"/><br /><sub><b>jhpoelen</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=jhpoelen\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/andycon\"><img src=\"https://avatars1.githubusercontent.com/u/3965889?v=4?s=100\" width=\"100px;\" alt=\"andycon\"/><br /><sub><b>andycon</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=andycon\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/nicholsn\"><img src=\"https://avatars3.githubusercontent.com/u/463344?v=4?s=100\" width=\"100px;\" alt=\"nicholsn\"/><br /><sub><b>nicholsn</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=nicholsn\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/adelavega\"><img src=\"https://avatars0.githubusercontent.com/u/2774448?v=4?s=100\" width=\"100px;\" alt=\"adelavega\"/><br /><sub><b>adelavega</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=adelavega\" title=\"Code\">\ud83d\udcbb</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/kskyten\"><img src=\"https://avatars0.githubusercontent.com/u/4163878?v=4?s=100\" width=\"100px;\" alt=\"kskyten\"/><br /><sub><b>kskyten</b></sub></a><br /><a href=\"https://github.com/datalad/datalad/commits?author=kskyten\" title=\"Code\">\ud83d\udcbb</a></td>\n </tr>\n <tr>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/TheChymera\"><img 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