head to head · open source

QwenPaw vs CosyVoice

QwenPaw has 37,316 GitHub stars, 3,258 forks, 990 open issues and last shipped yesterday. CosyVoice has 24,273 stars, 2,773 forks, 698 open issues and last shipped 5 months ago. QwenPaw leads on adoption by 54% (37,316 vs 24,273 stars). QwenPaw is written in TypeScript under Apache-2.0; CosyVoice is written in Python under Apache-2.0. QwenPaw has attracted 9% as many forks as stars, CosyVoice 11%. QwenPaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

QwenPaw ★ 37K CosyVoice ★ 24K category AI & Machine Learning

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Side by side

QwenPaw CosyVoice
GitHub stars ★ 37K ★ 24K
License Apache-2.0 Apache-2.0
Written in TypeScript Python
Last push 2026-11-04 2026-05-25
Forks ⑂ 3.3K ⑂ 2.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick QwenPaw if

  • You weight community size — 37K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full QwenPaw profile →

pick CosyVoice if

  • You want the CosyVoice feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and CosyVoice fits your workflow better

full CosyVoice profile →

About QwenPaw

QwenPaw [Documentation] [中文] [日本語] [Русский] Works for you, grows with you. Your personal AI assistant — deploy locally or in the cloud, extend with Skills & Plugins, connect across every channel. What you can do with QwenPaw Automation & scheduling : Set up recurring tasks — news digests, report generation, multi channel broadcasting — all on your schedule. Code & development : Read, edit, review, and test code in your projects with the unified file workspace. Document processing : Read, write, and convert PDF, Word, Excel, and PowerPoint files. Information gathering : Search the web, follow subscriptions…

read the full QwenPaw overview →

About CosyVoice

👉🏻 CosyVoice 👈🏻 Fun CosyVoice 3.0 : Demos; Paper; Modelscope; Huggingface; CV3 Eval CosyVoice 2.0 : Demos; Paper; Modelscope; HuggingFace CosyVoice 1.0 : Demos; Paper; Modelscope; HuggingFace Highlight🔥 Fun CosyVoice 3.0 is an advanced text to speech (TTS) system based on large language models (LLM), surpassing its predecessor (CosyVoice 2.0) in content consistency, speaker similarity, and prosody naturalness. It is designed for zero shot multilingual speech synthesis in the wild. Key Features Language Coverage : Covers 9 common languages (Chinese, English, Japanese, Korean, German, Spanish, French…

read the full CosyVoice overview →

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Frequently asked questions

Is QwenPaw or CosyVoice more popular?

QwenPaw has 37,316 GitHub stars and CosyVoice has 24,273. QwenPaw has the larger community by that measure.

Are QwenPaw and CosyVoice free?

Both are open source. QwenPaw is licensed under Apache-2.0 and CosyVoice under Apache-2.0. Neither carries a licence fee.

What is the difference between QwenPaw and CosyVoice?

QwenPaw is written in TypeScript and CosyVoice in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, QwenPaw or CosyVoice?

Choose QwenPaw if you want the larger community (37,316 stars) or its Apache-2.0 licence terms. Choose CosyVoice if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.