Factual package intelligence from PyPI
Generate fictional-but-coherent causal operations worlds (executable sim + ground-truth answer-key) from a natural-language description, for benchmarking causal-discovery agents.
pip install causal-worlds
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.1>=2.5>=2.9>=0.12The compact report shows 12 of 16 declarations. The interactive dependency graph loads the complete metadata.
causal-worlds publishes 1 wheel and 1 source archive for version 0.48.0. Wheel platform tags: any.
Declared Python classifiers: 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 39 releases with files. The first dated release is ; 39 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .