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.gkmprovides 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
- Read the contribution guide on the live site.
- Either:
- Open a Propose a vignette issue, or
- Copy
docs/vignettes/_template/vignette.mdinto a newdocs/vignettes/<slug>/folder, fill it in, and open a PR.
ga4gh.gkm Python package
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
python -m scripts.build_docs
zensical serve
Then open http://127.0.0.1:8000.
License
Metadata
Release files for ga4gh.gkm 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ga4gh_gkm-0.3.0.tar.gz | 663.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ga4gh_gkm-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 681.3 kB
Release files / ga4gh_gkm-0.3.0.tar.gz
| Download URL | ga4gh_gkm-0.3.0.tar.gz |
|---|---|
| Size | 663.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.
Transparency logRelease files / ga4gh_gkm-0.3.0-py3-none-any.whl
| Download URL | ga4gh_gkm-0.3.0-py3-none-any.whl |
|---|---|
| Size | 17.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
70056d18388ced8e84eb7e0e1a091fc7427bdac9602ce7597ad30ad7729c2c14
|
|
BLAKE2b-256 checksum How to use checksums |
15bb43e7c7da444434476d9c7031622ae3c009a1409d4ce5d9d830ee2b63d1f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.
Transparency log