# SBOM for medaka-cpu 2.2.0

> Neural network sequence error correction.

The Python package medaka-cpu 2.2.0 ships 4 SBOM files (CycloneDX) inside its wheels, under `.dist-info/sboms/` ([PEP 770](https://peps.python.org/pep-0770/)).

- Package URL (PURL): `pkg:pypi/medaka-cpu@2.2.0`
- PyPI: https://pypi.org/project/medaka-cpu/2.2.0/
- Author: ont-research
- Requires Python: \<3.14,\>=3.10
- Homepage: <https://github.com/nanoporetech/medaka>

## SBOMs

### medaka\_cpu-2.2.0-cp310-cp310-manylinux\_2\_27\_x86\_64.manylinux\_2\_28\_x86\_64.whl

- [medaka\_cpu-2.2.0.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/8f807958-abbb-59e2-8b29-77abca4f02ed/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities

### medaka\_cpu-2.2.0-cp311-cp311-manylinux\_2\_27\_x86\_64.manylinux\_2\_28\_x86\_64.whl

- [medaka\_cpu-2.2.0.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/c60cede1-1911-573b-b531-434f49807e95/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities

### medaka\_cpu-2.2.0-cp312-cp312-manylinux\_2\_27\_x86\_64.manylinux\_2\_28\_x86\_64.whl

- [medaka\_cpu-2.2.0.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/ba2b67c9-4dd8-5671-94c4-4e76ed17c7f0/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities

### medaka\_cpu-2.2.0-cp313-cp313-manylinux\_2\_27\_x86\_64.manylinux\_2\_28\_x86\_64.whl

- [medaka\_cpu-2.2.0.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/89f4b253-eb0f-531d-845d-c1514fd3c48d/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities

## Known vulnerabilities

Components listed in these SBOMs, matched against the [OSV database](https://osv.dev/) as of 2026-11-10.

OSV has no known vulnerabilities for the components these SBOMs list.

## Fetch it over TEA

This SBOM is served over the [Transparency Exchange API](https://github.com/CycloneDX/transparency-exchange-api) (TEA). With the `libtea` client:

```
pip install libtea
python -m libtea https://pypi.sbomify.com pkg:pypi/medaka-cpu@2.2.0
```

Machine-readable copy of this page: https://pypi.sbomify.com/package/medaka-cpu/2.2.0.json

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From pypi-tea by sbomify: https://pypi.sbomify.com/package/medaka-cpu/2.2.0