Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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.
Mlx Audio has the larger GitHub footprint with 7.0K stars.
Whisperkit is currently growing faster at 0 stars this week.
Mlx Audio has the stronger automated maintenance signal at 66/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Whisperkit | Mlx Audio |
|---|---|---|
| Evidence status | Basic listing· 1d ago | Basic listing· 1d ago |
| GitHub stars | 6.1K | 7.0K |
| Weekly growth | 0 | 0 |
| Health score | Watch42/100 |
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| Contributors | 36 | 79 |
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| Commits per week | 0.8 | 24.2 |
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| Open issues | 117 | 77 |
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| Language | Swift | Python |
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| License | MIT | MIT |
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| Last commit | 2mo ago | 2mo ago |
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| Last release | v1.0.0 | v0.4.3 |
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