MA

Blaizzy/mlx-audio

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.

6.6k 541 +8/wk
GitHub
apple-silicon audio-processing mlx multimodal speech-recognition speech-synthesis speech-to-text text-to-speech transformers
Trend 3

Star & Fork Trend (37 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

Blaizzy/mlx-audio has +8 stars this period . 7-day velocity: 0.4%.

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Signal-backed technical analysis will be available soon.

Metric mlx-audio ai-notes VLM-R1 all-in-rag
Stars 6.6k 6.2k5.9k5.9k
Forks 541 5503782.9k
Weekly Growth +8 -1+2+52
Language Python HTMLPythonPython
Sources 1 111
License MIT MITApache-2.0N/A

Capability Radar vs ai-notes

mlx-audio
ai-notes
Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 41

Fork-to-star ratio: 8.2%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 47

+8 stars this period — 0.12% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.