Factual package intelligence from PyPI

pyturbseq 0.1.0 package intelligence

A Python package for perturbational single-cell data analysis

pip install pyturbseq

Current version
0.1.0
Python requirement
<3.14,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
91.6 KiB
Release history
15 releases with files
Median release cadence
12 days

pyturbseq dependencies

PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scanpy >=1.9.0
  2. scipy <=1.15.3,>=1.8.0
  3. scikit-learn >=1.0.0
  4. umap-learn >=0.5.0
  5. numpy >=1.22.0
  6. pandas >=1.4.0
  7. matplotlib >=3.5.0
  8. seaborn >=0.11.0
  9. tqdm >=4.60.0
  10. fastcluster >=1.2.0
  11. adjusttext >=0.7.0
  12. pydeseq2 >=0.3.0
  13. statsmodels >=0.14.0
  14. adpbulk >=0.1.0
  15. anndata >=0.8.0
  16. hdbscan >=0.8.0
  17. dcor >=0.5.0
  18. upsetplot >=0.6.0
  19. joblib >=1.0.0

The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pyturbseq publishes 1 wheel and 1 source archive for version 0.1.0. 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 15 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .