Factual package intelligence from PyPI
Cross-framework causal-ML ensembles for ATE and CATE with full-pipeline bootstrap inference
pip install metacausal
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.2>=1.24>=1.5>=1.9>=1.2The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
metacausal publishes 1 wheel and 1 source archive for version 0.7.2. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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.
PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .