Comparison
CosyVoice vs oneflow
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 oneflow if oneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations.
Markdown twin · CosyVoice alternatives · oneflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | CosyVoice | oneflow |
|---|---|---|
| Maintenance | Steady (89d since push) As of today · github_public_v1 | Slowing (242d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization 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.
- oneflow
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Stars
- CosyVoice
- 23k
- oneflow
- 9.4k
Forks
- CosyVoice
- 2.6k
- oneflow
- 1.0k
Open issues
- CosyVoice
- 719
- oneflow
- 644
Language
- CosyVoice
- Python
- oneflow
- C++
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.
- oneflow
- OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations.
Persona
- CosyVoice
- -
- oneflow
- -
Runtime
- CosyVoice
- -
- oneflow
- -
License
- CosyVoice
- Apache-2.0
- oneflow
- Apache-2.0
Last pushed
- CosyVoice
- May 25, 2026
- oneflow
- Dec 4, 2025
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- oneflow
- Model Training
Trust and health
Maintenance
- CosyVoice
- Steady (60%)
- oneflow
- Slowing (36%)
Days since push
- CosyVoice
- 89d
- oneflow
- 242d
Open issues (now)
- CosyVoice
- 719
- oneflow
- 644
Stars delta
- CosyVoice
- +497 (30d)
- oneflow
- Unknown
Open issues delta
- CosyVoice
- -37 (30d)
- oneflow
- Unknown
Full report
- CosyVoice
- Trust report
- oneflow
- Trust report
Shared compatibility
- Python · CosyVoice: Python runtime · oneflow: Python runtime
Choose CosyVoice if…
- CosyVoice is primarily Python; oneflow is C++.
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Inference & Serving, Speech & Audio.
- 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 oneflow if…
- oneflow is primarily C++; CosyVoice is Python.
- Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning.
- OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow.
When NOT to use oneflow
- Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility.
- If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely.
- OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations.
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 Aug 23, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Aug 23, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Oneflow-Inc/oneflow) · observed Aug 3, 2026
- GitHub forks (Oneflow-Inc/oneflow) · observed Aug 3, 2026
- Last push (Oneflow-Inc/oneflow) · observed Dec 4, 2025
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 23k · oneflow 9.4k (synced Aug 23, 2026).
Common questions
- What is the difference between CosyVoice and oneflow?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over oneflow?
- Choose CosyVoice over oneflow when CosyVoice is primarily Python; oneflow is C++; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose oneflow over CosyVoice?
- Choose oneflow over CosyVoice when oneflow is primarily C++; CosyVoice is Python; Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning; OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow.
- 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 oneflow?
- Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility. If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely. OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations.
- Is CosyVoice or oneflow more popular on GitHub?
- CosyVoice has more GitHub stars (22,870 vs 9,420). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and oneflow open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, oneflow: Apache-2.0).
- Where can I find alternatives to CosyVoice or oneflow?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and oneflow alternatives (CosyVoice markdown twin, oneflow 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 oneflow?
- CosyVoice: Steady. oneflow: 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 oneflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; oneflow trust report.