An open-source toolkit for large-scale genomic analysis
Glow is an open-source toolkit for working with genomic data at biobank-scale and beyond. The toolkit is natively built on Apache Spark, the leading unified engine for big data processing and machine learning, enabling the scale of the cloud for genomics workflows.
Read the docs to start using Glow.
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4 maintainers
Release files for glow.py 2.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| glow_py-2.1.0.tar.gz | 63.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| glow_py-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 148.6 kB
Release files / glow_py-2.1.0.tar.gz
| Download URL | glow_py-2.1.0.tar.gz |
|---|---|
| Size | 63.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / glow_py-2.1.0-py3-none-any.whl
| Download URL | glow_py-2.1.0-py3-none-any.whl |
|---|---|
| Size | 85.3 kB |
| Tags | Python 3 |
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SHA-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.
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