Factual package intelligence from PyPI
Wrap any trained sklearn/XGBoost model as an LLM-callable tool: auto-generated JSON schemas, Pydantic I/O, OpenAI & LangChain ready, zero boilerplate.
pip install predikit
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=2.0>=1.2The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
predikit publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 14 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .