Factual package intelligence from PyPI

causalexplain 1.0.0 package intelligence

A package to extract the causal graph from continuous tabular data.

pip install causalexplain

Current version
1.0.0
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.9 MiB
Release history
16 releases with files
Median release cadence
6 days

causalexplain dependencies

PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. causal-learn >=0.1.3.3
  2. colorama >=0.4.6
  3. hyppo >=0.4.0
  4. igraph >=0.11.3
  5. joblib >=1.3.2
  6. kneed >=0.8.5
  7. matplotlib >=3.10.0
  8. mlforge
  9. networkx >=3.4.2
  10. nicegui >=1.4.0
  11. numpy >=1.21.0
  12. optuna >=3.3.0
  13. pandas >=2.2.3
  14. pydot >=1.4.2
  15. pydotplus >=2.0.2
  16. pygam >=0.12.0
  17. pytorch-lightning >=2.4.0
  18. rich >=13.0.0

The compact report shows 18 of 38 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

causalexplain publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Security snapshot for causalexplain 1.0.0

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 16 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 .