Factual package intelligence from PyPI

pycausal-dai 0.1.1 package intelligence

A Python package for causal inference methods including ATE estimation, propensity score methods, and meta-learners

pip install pycausal-dai

Current version
0.1.1
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.4 KiB
Release history
2 releases with files
Median release cadence
0 days

pycausal-dai dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. graphviz >=0.21
  2. lightgbm >=4.6.0
  3. linearmodels >=7.0
  4. matplotlib >=3.10.7
  5. networkx >=3.5
  6. numpy <2
  7. pandas >=2.3.3
  8. patsy >=1.0.1
  9. pyarrow >=22.0.0
  10. scikit-learn >=1.7.2
  11. scipy >=1.16.2
  12. seaborn >=0.13.2
  13. statsmodels >=0.14.5
  14. toolz >=1.0.0

Compatibility and release files

pycausal-dai publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .