Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Robust Speech Recognition via Large-Scale Weak Supervision
Best matched with other audio tools.
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.
Best matched with other audio tools.
whisper has the larger GitHub footprint with 109.9K stars.
Mlx Audio is currently growing faster at +712 stars this week.
Mlx Audio has the stronger automated maintenance signal at 85/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | whisper | Mlx Audio |
|---|---|---|
| Evidence status | Verified snapshot· 2026-10-04 09:19 UTC | Basic listing· 2026-10-04 09:18 UTC |
| GitHub stars | 109.9K | 7.7K |
| Weekly growth | +370 | +712 |
| Health score | Watch56/100 | Strong85/100 |
| Contributors | 81 | 112 |
| Commits per week | 0.2 | 21.8 |
| Open issues | 123 | 87 |
| Language | Python | Python |
| License | MIT | MIT |
| Last commit | 2026-08-31 17:19 UTC | 2026-08-16 21:10 UTC |
| Last release | v20250625 | v0.4.8 |
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