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GKM Starter Kit

A practical entry point for using the GA4GH Genomic Knowledge Model (GKM).

Live site: https://ga4gh.github.io/gkm-starter-kit/

The Starter Kit brings together three complementary resources:

  • Data Bundles package related GKM objects from participating producers.
  • ga4gh.gkm provides Python tools for loading and working with those bundles.
  • Vignettes show how implementers use GKM standards to solve real problems.

Start with the documentation for an overview, examples, and API details.

Contributing a vignette

  1. Read the contribution guide on the live site.
  2. Either:
    • Open a Propose a vignette issue, or
    • Copy docs/vignettes/_template/vignette.md into a new docs/vignettes/<slug>/ folder, fill it in, and open a PR.

ga4gh.gkm Python package

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Installation

Install from PyPI:

python3 -m pip install ga4gh.gkm

Development

Clone the repo and create a virtual environment:

git clone https://github.com/ga4gh/gkm-starter-kit
cd gkm-starter-kit
python3 -m venv venv
source venv/bin/activate

Install development dependencies and prek:

python3 -m pip install -e '.[dev,tests,docs,notebooks]'
prek install

Check style with ruff:

python3 -m ruff check .
python3 -m ruff format --check .

Run tests with pytest:

pytest

Docs

mkdocs serve

Then open http://127.0.0.1:8000.

License

CC0 1.0 Universal

Metadata

Release files for ga4gh.gkm 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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ga4gh_gkm-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 634.3 kB

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Signed by GitHub Actions, verified by PyPI on Aug 28, 2026.

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