https://github.com/sgkit-dev/sgkit
Scalable genetics toolkit
https://github.com/sgkit-dev/sgkit
genetics gwas popgen pydata statgen statistical-genetics
Last synced: about 1 month ago
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Scalable genetics toolkit
- Host: GitHub
- URL: https://github.com/sgkit-dev/sgkit
- Owner: sgkit-dev
- License: apache-2.0
- Created: 2020-06-16T17:58:57.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2026-03-02T15:20:11.000Z (2 months ago)
- Last Synced: 2026-03-02T18:42:25.722Z (2 months ago)
- Topics: genetics, gwas, popgen, pydata, statgen, statistical-genetics
- Language: Python
- Homepage: https://sgkit-dev.github.io/sgkit
- Size: 108 MB
- Stars: 275
- Watchers: 16
- Forks: 39
- Open Issues: 210
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Governance: GOVERNANCE.md
Awesome Lists containing this project
README
# sgkit: Scalable genetics toolkit in Python
[](https://github.com/sgkit-dev/sgkit/actions/workflows/build.yml)
[](https://github.com/sgkit-dev/sgkit/actions/workflows/windows.yml)
[](https://sgkit-dev.github.io/sgkit/)
[](https://github.com/sgkit-dev/sgkit/actions/workflows/upstream.yml)
[](https://github.com/sgkit-dev/sgkit/actions/workflows/benchmark.yml)
[](http://numfocus.org)
Sgkit is a Python package that provides a variety of analytical genetics methods through the use of
general-purpose frameworks such as [Xarray](http://xarray.pydata.org/en/stable/), [Pandas](https://pandas.pydata.org/docs/),
[Dask](https://docs.dask.org/en/latest/) and [Zarr](https://zarr.readthedocs.io/en/stable/).
For more information on using sgkit, see the [documentation](https://sgkit-dev.github.io/sgkit/).
[//]: # (numfocus-fiscal-sponsor-attribution)
The sgkit project uses a [custom governance model](./GOVERNANCE.md)
and is fiscally sponsored by [NumFOCUS](https://numfocus.org/). Consider making
a [tax-deductible donation](https://numfocus.org/donate-to-sgkit) to help the project
pay for developer time, professional services, travel, workshops, and a variety of other needs.