Factual package intelligence from PyPI

py-causalflow 4.0.5 package intelligence

A Collection of Methods for Causal Discovery from Time-series

pip install py-causalflow

Current version
4.0.5
Python requirement
>=3
License
GNU General Public License v3 (GPLv3)
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
434.6 KiB
Release history
6 releases with files
Median release cadence
0 days

py-causalflow dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5.2
  2. numba >=0.58.1
  3. scipy >=1.3.3
  4. networkx >=2.8.6
  5. ruptures >=1.1.7
  6. scikit_learn >=1.1.3
  7. torch >=1.11.0
  8. gpytorch >=1.4
  9. dcor >=0.5.3
  10. h5py >=3.7.0
  11. jpype1 >=1.5.0
  12. mpmath >=1.3.0
  13. causalnex
  14. lingam
  15. pyopencl >=2024.1
  16. matplotlib >=3.7.0
  17. numpy
  18. pgmpy >=0.1.19

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

py-causalflow publishes 0 wheels and 1 source archive for version 4.0.5. Wheel platform tags: No wheel platform tags.

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 .