Comparison
CosyVoice vs private-gpt
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 private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,.
Markdown twin · CosyVoice alternatives · private-gpt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | CosyVoice | private-gpt |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Very active (0d 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
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- private-gpt
- Complete API layer for private AI applications on local models
Stars
- CosyVoice
- 22k
- private-gpt
- 57k
Forks
- CosyVoice
- 2.5k
- private-gpt
- 7.6k
Open issues
- CosyVoice
- 767
- private-gpt
- 5
Language
- CosyVoice
- Python
- private-gpt
- Python
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.
- private-gpt
- PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,
Persona
- CosyVoice
- -
- private-gpt
- -
Runtime
- CosyVoice
- -
- private-gpt
- -
License
- CosyVoice
- Apache-2.0
- private-gpt
- Apache-2.0
Last pushed
- CosyVoice
- May 25, 2026
- private-gpt
- Jul 10, 2026
Categories
- CosyVoice
- Model Training, Speech & Audio, Inference & Serving
- private-gpt
- Inference & Serving
Trust and health
Maintenance
- CosyVoice
- Steady (60%)
- private-gpt
- Very active (96%)
Days since push
- CosyVoice
- 46d
- private-gpt
- 0d
Open issues (now)
- CosyVoice
- 767
- private-gpt
- 5
Full report
- CosyVoice
- Trust report
- private-gpt
- Trust report
Choose CosyVoice if…
- Tags unique to CosyVoice: cantonese, audio-generation, chinese, english.
- Also covers Model Training, 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 private-gpt if…
- Requirements: Min 8 GB RAM; Requires Docker.
- Tags unique to private-gpt: text-to-sql, ai, on-premise, tools.
- private-gpt ships Docker support for self-hosted deployment.
- - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
When NOT to use private-gpt
- - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services.
- - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations.
- - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
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 11, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Jul 11, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zylon-ai/private-gpt) · observed Jul 11, 2026
- GitHub forks (zylon-ai/private-gpt) · observed Jul 11, 2026
- Last push (zylon-ai/private-gpt) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 22k · private-gpt 57k (synced Jul 11, 2026).
Common questions
- What is the difference between CosyVoice and private-gpt?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over private-gpt?
- Choose CosyVoice over private-gpt when Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Model Training, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose private-gpt over CosyVoice?
- Choose private-gpt over CosyVoice when Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: text-to-sql, ai, on-premise, tools; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
- 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 private-gpt?
- - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
- Is CosyVoice or private-gpt more popular on GitHub?
- private-gpt has more GitHub stars (57,329 vs 22,089). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and private-gpt open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, private-gpt: Apache-2.0).
- Where can I find alternatives to CosyVoice or private-gpt?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and private-gpt alternatives (CosyVoice markdown twin, private-gpt 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 private-gpt?
- CosyVoice: Steady. private-gpt: Very active. 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 private-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; private-gpt trust report.