Home/Compare/UER-py vs CosyVoice

Comparison

UER-py vs CosyVoice

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.

Markdown twin · UER-py alternatives · CosyVoice alternatives

GraphCanon updated today

UER-py logo

UER-py

dbiir/UER-py

3.1kpushed May 9, 2024
vs
CosyVoice logo

CosyVoice

FunAudioLLM/CosyVoice

22kpushed May 25, 2026

Trust & integrity

SignalUER-pyCosyVoice
Maintenance
Dormant (793d since push)
As of today · github_public_v1
Steady (46d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

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.

Stars

UER-py
3.1k
CosyVoice
22k

Forks

UER-py
520
CosyVoice
2.5k

Open issues

UER-py
136
CosyVoice
767

Language

UER-py
Python
CosyVoice
Python

Adopt for

UER-py
-
CosyVoice
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

UER-py
-
CosyVoice
-

Runtime

UER-py
-
CosyVoice
-

License

UER-py
Apache-2.0
CosyVoice
Apache-2.0

Last pushed

UER-py
May 9, 2024
CosyVoice
May 25, 2026

Categories

UER-py
Model Training
CosyVoice
Model Training, Speech & Audio, Inference & Serving

Trust and health

Maintenance

UER-py
Dormant (18%)
CosyVoice
Steady (60%)

Days since push

UER-py
793d
CosyVoice
46d

Open issues (now)

UER-py
136
CosyVoice
767

Full report

CosyVoice
Trust report

Choose UER-py if…

  • Tags unique to UER-py: bert, albert, fine-tuning, clue.
  • Leaner open-issue backlog (136).

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.

Choose CosyVoice if…

  • Tags unique to CosyVoice: cantonese, audio-generation, english, cross-lingual.
  • Also covers Speech & Audio, Inference & Serving.
  • When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: UER-py 3.1k · CosyVoice 22k (synced Jul 11, 2026).

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 Speech & Audio, Inference & Serving; 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 and CosyVoice alternatives (UER-py markdown twin, CosyVoice markdown twin), 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 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; CosyVoice trust report.