Factual package intelligence from PyPI

mlx-omni-server 0.5.3 package intelligence

MLX Omni Server is a server that provides OpenAI-compatible APIs using Apple's MLX framework.

pip install mlx-omni-server

Current version
0.5.3
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
146.6 KiB
Release history
26 releases with files
Median release cadence
8 days

mlx-omni-server dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. f5-tts-mlx <0.3,>=0.2.5
  2. fastapi <0.140,>=0.117
  3. huggingface-hub >=0.30
  4. mflux <0.18,>=0.17.5
  5. misaki <0.10,>=0.9.4
  6. mlx-audio <0.5,>=0.4.3
  7. mlx-embeddings >=0.0.3
  8. mlx-lm <0.32,>=0.31.2
  9. mlx-vlm <0.5,>=0.4.3
  10. mlx-whisper >=0.4.1
  11. mlx <0.32,>=0.31.2 when sys_platform == "darwin"
  12. numba >=0.57.0
  13. outlines ==1.0.4
  14. pydantic <3,>=2.9.2
  15. python-multipart <0.1,>=0.0.27
  16. rich >=13.9.4
  17. sse-starlette <3,>=2.1.3
  18. transformers <5.9,>=5.5.0
  19. uvicorn <0.35,>=0.34.0

Compatibility and release files

mlx-omni-server publishes 1 wheel and 1 source archive for version 0.5.3. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Release activity and sources

PyPI lists 26 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .