Factual package intelligence from PyPI
A full-stack Python causal inference engine — DAGs, identification, estimation, and refutation
pip install dagwise
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21>=1.7>=1.3>=1.0>=0.13The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.
dagwise publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .