--- title: "UER-py vs CosyVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dbiir-uer-py-vs-funaudiollm-cosyvoice" tools: ["dbiir-uer-py", "funaudiollm-cosyvoice"] --- # UER-py vs CosyVoice *GraphCanon updated Jul 12, 2026* ## Verdict Pick UER-py when tags unique to UER-py: bert, albert, fine-tuning, clue; pick CosyVoice when tags unique to CosyVoice: cantonese, audio-generation, english, cross-lingual. [UER-py](https://github.com/dbiir/UER-py/wiki) reports 3.1k GitHub stars, 520 forks, and 136 open issues, last pushed May 9, 2024. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) has 22k stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. Figures are from public GitHub metadata via [UER-py's repository](https://github.com/dbiir/UER-py) and [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice). | | [UER-py](/tools/dbiir-uer-py.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Tagline | Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | | Stars | 3,109 | 22,089 | | Forks | 520 | 2,545 | | Open issues | 136 | 767 | | Language | Python | Python | | Adopt for | - | CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training | Model Training, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [UER-py](/tools/dbiir-uer-py.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 793d | 46d | | Open issues (now) | 136 | 767 | | Full report | [trust report](/tools/dbiir-uer-py/trust.md) | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | ## Decision facts: CosyVoice - **Adopt for:** CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. ## Choose when ### Choose UER-py if… - Tags unique to UER-py: bert, albert, fine-tuning, clue. - Leaner open-issue backlog (136). ### Choose CosyVoice if… - Tags unique to CosyVoice: cantonese, audio-generation, english, cross-lingual. - Also covers Inference & Serving, Speech & Audio. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ## When NOT to use UER-py - Last GitHub push was 793 days ago (dormant maintenance, May 9, 2024). Validate activity before betting a new project on UER-py. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use CosyVoice - If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. - When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ## Common questions ### What is the difference between UER-py and CosyVoice? UER-py: Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo. CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. See the comparison table for live GitHub stats and shared categories. ### When should I choose UER-py over CosyVoice? Choose UER-py over CosyVoice when Tags unique to UER-py: bert, albert, fine-tuning, clue; Leaner open-issue backlog (136). ### When should I choose CosyVoice over UER-py? Choose CosyVoice over UER-py when Tags unique to CosyVoice: cantonese, audio-generation, english, cross-lingual; Also covers Inference & Serving, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I avoid UER-py? Last GitHub push was 793 days ago (dormant maintenance, May 9, 2024). Validate activity before betting a new project on UER-py. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid CosyVoice? If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ### Is UER-py or CosyVoice more popular on GitHub? CosyVoice has more GitHub stars (22,089 vs 3,109). Stars measure visibility, not whether either tool fits your constraints. ### Are UER-py and CosyVoice open source? Yes - both are open-source projects on GitHub (UER-py: Apache-2.0, CosyVoice: Apache-2.0). ### Where can I find alternatives to UER-py or CosyVoice? GraphCanon lists graph-backed alternatives at [UER-py alternatives](/tools/dbiir-uer-py/alternatives) and [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) ([UER-py markdown twin](/tools/dbiir-uer-py/alternatives.md), [CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dbiir-uer-py-vs-funaudiollm-cosyvoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, UER-py or CosyVoice? UER-py: Dormant. CosyVoice: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for UER-py and CosyVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [UER-py trust report](/tools/dbiir-uer-py/trust); [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dbiir-uer-py`](/api/graphcanon/graph?tool=dbiir-uer-py) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_