Factual package intelligence from PyPI

feature-clock 1.0.2 package intelligence

Feature Clock, provides visualizations that eliminate the need for multiple plots to inspect the influence of original variables in the latent space. Feature Clock enhances the explainability and compactness of visualizations of embedded data.

pip install feature-clock

Current version
1.0.2
Python requirement
>=3.11
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
49.6 KiB
Release history
6 releases with files
Median release cadence
0 days

feature-clock dependencies

PyPI declares 48 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anndata ==0.10.6
  2. array-api-compat ==1.4.1
  3. contourpy ==1.2.0
  4. cycler ==0.12.1
  5. Cython ==0.29.37
  6. decorator ==5.1.1
  7. Deprecated ==1.2.14
  8. fonttools ==4.49.0
  9. future ==1.0.0
  10. graphtools ==1.5.3
  11. h5py ==3.10.0
  12. hdbscan ==0.8.33
  13. joblib ==1.3.2
  14. kiwisolver ==1.4.5
  15. llvmlite ==0.42.0
  16. matplotlib ==3.8.3
  17. natsort ==8.4.0
  18. networkx ==3.2.1
  19. numba ==0.59.0
  20. numpy ==1.26.4
  21. packaging ==24.0
  22. pandas ==2.0.3
  23. patsy ==0.5.6
  24. phate ==1.0.11
  25. pillow ==10.2.0

The compact report shows 25 of 48 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

feature-clock publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .