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Project comparison
Whisper vs AudioCraft
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
99.3K
Stars
+370
Weekly
56/100
Health
AudioCraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
23.3K
Stars
+22
Weekly
55/100
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
Whisper has the stronger health score at 56/100.
Side-by-side Metrics
| Signal | Whisper | AudioCraft |
|---|---|---|
| GitHub stars | 99.3K | 23.3K |
| Weekly growth | +370 | +22 |
| Health score | 56 | 55 |
| Contributors | 81 | 38 |
| Commits per week | 0.2 | 0.0 |
| Open issues | 123 | 384 |
| Language | Python | Jupyter Notebook |
| License | MIT | MIT |
| Last commit | 27d ago | 2mo ago |
| Last release | v20250625 | N/A |
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