Factual package intelligence from PyPI
Local inference server for Apple Silicon that hot-swaps MLX models (LLM, vision, embeddings, TTS, STT) via OpenAI-compatible API
pip install mlx-serve
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.
mlx-serve publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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 .