Blaizzy/mlx-audio
PythonMITactivepopular
Health
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Health Breakdown
Activity25
Community25
Maintenance14
Popularity25
#apple-silicon#audio-processing#mlx#multimodal#speech-recognition#speech-synthesis#speech-to-text#text-to-speech#transformers
Should you contribute to Blaizzy/mlx-audio?
Blaizzy/mlx-audio has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonMIT
activepopular
0d ago
