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DataLad extension package for the "tabby" dataset metadata specification
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Michael Hanke a508d04eb4 Simplify and rectify dependencies 
- Remove redundant specifications
- No need for an unreleased datalad-next
- PY3.7 is EOL
2023-07-29 07:21:00 +02:00
.github Add github action to codespell main on push and PRs 2023-07-13 10:35:52 -04:00
_datalad_buildsupport [DATALAD RUNCMD] run codespell throughout 2023-07-13 10:36:01 -04:00
changelog.d Update extension basics for use as datalad-tabby: 2023-06-16 11:14:42 +02:00
datalad_tabby Fix broken schema.org IRI prefix definition (missed trailing slash) 2023-07-28 21:17:38 +02:00
docs Fix broken schema.org IRI prefix definition (missed trailing slash) 2023-07-28 21:17:38 +02:00
tools Simplify recursion flag negation business 2023-07-28 16:25:36 +02:00
.appveyor.yml Enable snaphot-based git-annex installation on appveyor 2023-07-20 11:27:19 +02:00
.codeclimate.yml Initial commit 2023-06-07 15:31:04 +02:00
.datalad-release-action.yaml Initial commit 2023-06-07 15:31:04 +02:00
.gitattributes Update extension basics for use as datalad-tabby: 2023-06-16 11:14:42 +02:00
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.readthedocs.yaml Fix RTD config 2023-07-03 08:43:37 +02:00
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MANIFEST.in Update extension basics for use as datalad-tabby: 2023-06-16 11:14:42 +02:00
pyproject.toml Add rudimentary codespell config 2023-07-13 10:35:52 -04:00
README.md Add documentation link 2023-07-03 09:00:29 +02:00
requirements-devel.txt Simplify and rectify dependencies 2023-07-29 07:21:00 +02:00
setup.cfg Simplify and rectify dependencies 2023-07-29 07:21:00 +02:00
setup.py Update extension basics for use as datalad-tabby: 2023-06-16 11:14:42 +02:00
versioneer.py Initial commit 2023-06-07 15:31:04 +02:00

README.md

DataLad extension for working with (tabular) metadata

Build status codecov crippled-filesystems docs Documentation Status License: MIT GitHub release PyPI version fury.io

The documentation for this package is provided at http://docs.datalad.org/projects/tabby

Acknowledgements

This DataLad extension was developed with support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant SFB 1451 (431549029, INF project).