Comparison
CosyVoice vs awesome-whisper
Verdict
Pick CosyVoice if 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; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Markdown twin · CosyVoice alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | CosyVoice | awesome-whisper |
|---|---|---|
| Maintenance | Steady (59d since push) As of 4w · github_public_v1 | Slowing (134d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- CosyVoice
- 22k
- awesome-whisper
- 2.4k
Forks
- CosyVoice
- 2.6k
- awesome-whisper
- 156
Open issues
- CosyVoice
- 756
- awesome-whisper
- 7
Language
- CosyVoice
- Python
- awesome-whisper
- -
Adopt for
- 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.
- awesome-whisper
- awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Persona
- CosyVoice
- -
- awesome-whisper
- -
Runtime
- CosyVoice
- -
- awesome-whisper
- -
License
- CosyVoice
- Apache-2.0
- awesome-whisper
- CC0-1.0
Last pushed
- CosyVoice
- May 25, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- CosyVoice
- Steady (60%)
- awesome-whisper
- Slowing (36%)
Days since push
- CosyVoice
- 59d
- awesome-whisper
- 134d
Open issues (now)
- CosyVoice
- 756
- awesome-whisper
- 7
Owner type
- CosyVoice
- Organization
- awesome-whisper
- User
Full report
- CosyVoice
- Trust report
- awesome-whisper
- Trust report
Choose CosyVoice if…
- License: CosyVoice is Apache-2.0, awesome-whisper is CC0-1.0.
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Inference & Serving, Model Training.
- 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.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, CosyVoice is Apache-2.0.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages
When NOT to use awesome-whisper
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/CosyVoice) · observed Jul 24, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Jul 24, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- Last push (sindresorhus/awesome-whisper) · observed Mar 17, 2026
- License file (CC0-1.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 22k · awesome-whisper 2.4k (synced Jul 24, 2026).
Common questions
- What is the difference between CosyVoice and awesome-whisper?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over awesome-whisper?
- Choose CosyVoice over awesome-whisper when License: CosyVoice is Apache-2.0, awesome-whisper is CC0-1.0; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Model Training; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose awesome-whisper over CosyVoice?
- Choose awesome-whisper over CosyVoice when License: awesome-whisper is CC0-1.0, CosyVoice is Apache-2.0; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.
- 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.
- When should I avoid awesome-whisper?
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization
- Is CosyVoice or awesome-whisper more popular on GitHub?
- CosyVoice has more GitHub stars (22,373 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to CosyVoice or awesome-whisper?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and awesome-whisper alternatives (CosyVoice markdown twin, awesome-whisper 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, CosyVoice or awesome-whisper?
- CosyVoice: Steady. awesome-whisper: Slowing. 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 CosyVoice and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; awesome-whisper trust report.