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Project comparison
Mlx Audio vs Whisper
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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.
7.0K
Stars
0
Weekly
69/100
Health
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
99.3K
Stars
+370
Weekly
56/100
Health
Quick Take
Adoption
Whisper has the larger GitHub footprint with 99.3K stars.
Momentum
Whisper is currently growing faster at +370 stars this week.
Maintenance
Mlx Audio has the stronger health score at 69/100.
Side-by-side Metrics
| Signal | Mlx Audio | Whisper |
|---|---|---|
| GitHub stars | 7.0K | 99.3K |
| Weekly growth | 0 | +370 |
| Health score | 69 | 56 |
| Contributors | 79 | 81 |
| Commits per week | 24.2 | 0.2 |
| Open issues | 77 | 123 |
| Language | Python | Python |
| License | MIT | MIT |
| Last commit | 6d ago | 26d ago |
| Last release | v0.4.3 | v20250625 |
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