Factual package intelligence from PyPI

kaleidocell 0.1.2 package intelligence

Scalable and interpretable identification of shared transcriptional programs across single-cell cohorts via consensus NMF.

pip install kaleidocell

Current version
0.1.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.6 MiB
Release history
3 releases with files
Median release cadence
0 days

kaleidocell dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. pandas >=1.5
  3. scipy >=1.10
  4. scikit-learn >=1.2
  5. statsmodels >=0.14
  6. matplotlib >=3.7
  7. seaborn >=0.12
  8. tqdm >=4.65
  9. anndata >=0.9
  10. scanpy >=1.9
  11. torch >=2.0
  12. gseapy >=1.0

Compatibility and release files

kaleidocell publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Security snapshot for kaleidocell 0.1.2

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .