modelscope/FunASR
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 208 contributors on GitHub.
Use Cases & Benefits
- Provides an open-source end-to-end speech recognition toolkit supporting ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving.
- Enables high-accuracy, efficient, and flexible speech recognition with pretrained industrial-grade models and easy fine-tuning for diverse languages and tasks.
- Use for building real-time streaming ASR applications with low latency and multi-language support using Paraformer streaming models.
- Use for offline transcription services that handle long audio files with voice activity detection, punctuation restoration, and timestamp prediction.
- Use for multi-speaker diarization and speaker verification pipelines to extract speaker information from multi-talker audio recordings.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
FunASR hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.1K+134
Open issues
51+48
Compared with peers in Machine Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| photoprism/photoprism | 40.4K | — | 65 | 1 day ago |
| huggingface/diffusers | 34.8K | — | 65 | 3 days ago |
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| modelscope/FunASR | 20.9K | — | 40 | today |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| Category median | 21.6K | — | 63 | — |
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