Factual package intelligence from PyPI

msmu 0.2.10 package intelligence

BERTIS LC-MS/MS analysis library through MuData

pip install msmu

Current version
0.2.10
Python requirement
>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
33.9 MiB
Release history
8 releases with files
Median release cadence
7 days

msmu dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anndata >=0.12.0
  2. biopython >=1.86
  3. fastparquet >=2025.12.0
  4. inmoose >=0.9.1
  5. kaleido >=1.2.0
  6. mudata >=0.3.2
  7. plotly >=6.5.2
  8. pyopenms >=3.5.0
  9. scikit-learn >=1.8.0
  10. scipy >=1.17.0
  11. statsmodels >=0.14.6
  12. tqdm >=4.67.1
  13. umap-learn >=0.5.11
  14. sdrf-pipelines >=0.1.0

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

msmu publishes 1 wheel and 1 source archive for version 0.2.10. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .