Factual package intelligence from PyPI
Rapid-MLX — AI inference for Apple Silicon. Drop-in OpenAI API, 2-4x faster than Ollama.
pip install rapid-mlx
PyPI declares 70 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.31.2>=0.31.3<5.13,>=5.0.0>=0.19.0>=0.23.0>=1.24.0>=4.66.0>=6.0>=2.28.0>=0.9.0>=5.9.0>=0.100.0The compact report shows 12 of 70 declarations. The interactive dependency graph loads the complete metadata.
rapid-mlx publishes 1 wheel and 1 source archive for version 0.10.12. Wheel platform tags: any.
Declared Python classifiers: 3.10, 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 168 releases with files. The first dated release is ; 168 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .