Factual package intelligence from PyPI

causal-falsify 0.3.1 package intelligence

Algorithms to falsify unconfoundedness assumption when having access to multi-source observational data.

pip install causal-falsify

Current version
0.3.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
55.6 KiB
Release history
6 releases with files
Median release cadence
59 days

causal-falsify dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. causal-learn >=0.1.3.8
  2. jax >=0.4.30
  3. matplotlib >=3.9.2
  4. numpy >=1.26.4
  5. pandas >=2.2.2
  6. scikit-learn >=1.5.1
  7. scipy >=1.12.0
  8. seaborn >=0.13
  9. statsmodels >=0.14.2
  10. tqdm >=4.66.5

Compatibility and release files

causal-falsify publishes 1 wheel and 1 source archive for version 0.3.1. 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 .