Genomic interval machine learning (geniml)
Geniml is a python package for building machine learning models of genomic interval data (BED files). It also includes ancillary functions to support other types of analyses of genomic interval data.
Documentation is hosted at https://docs.bedbase.org/geniml/.
Installation
To install geniml use this commands.
Without specifying dependencies, the default dependencies will be installed, which DO NOT include machine learning (ML) or heavy processing libraries.
From pypi:
pip install geniml
or install the latest version from the GitHub repository:
pip install git+https://github.com/databio/geniml.git
To install Machine learning dependencies use this command:
From pypi:
pip install geniml[ml]
Development
Run tests (from /tests) with pytest. Please read the contributor guide to contribute.
Metadata
Release files for geniml 0.8.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geniml-0.8.4.tar.gz | 156.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geniml-0.8.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 342.9 kB
Release files / geniml-0.8.4.tar.gz
| Download URL | geniml-0.8.4.tar.gz |
|---|---|
| Size | 156.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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Transparency logRelease files / geniml-0.8.4-py3-none-any.whl
| Download URL | geniml-0.8.4-py3-none-any.whl |
|---|---|
| Size | 186.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Jan 14, 2026.
Transparency log