Factual package intelligence from PyPI

causalml 0.17.0 package intelligence

Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms

pip install causalml

Current version
0.17.0
Python requirement
>=3.11
License
Apache Software License
Distribution type
Includes compiled wheel
Release files
7 (6 wheels, 1 source)
Download size
29.2 MiB
Release history
30 releases with files
Median release cadence
69 days

causalml dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. forestci ==0.6
  2. pathos ==0.2.9
  3. numpy >=1.25.2
  4. scipy >=1.16.0
  5. matplotlib
  6. pandas >=0.24.1
  7. scikit-learn >=1.6.0
  8. statsmodels >=0.14.5
  9. seaborn
  10. xgboost
  11. pydotplus
  12. tqdm
  13. shap
  14. dill
  15. lightgbm
  16. packaging
  17. graphviz
  18. black >=26.1.0

The compact report shows 18 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

causalml publishes 6 wheels and 1 source archive for version 0.17.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_24_x86_64.manylinux_2_28_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Security snapshot for causalml 0.17.0

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 30 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .