head to head · open source

CosyVoice vs deepchat

CosyVoice has 24,234 GitHub stars, 2,767 forks, 698 open issues and last shipped 5 months ago. deepchat has 6,384 stars, 769 forks, 8 open issues and last shipped 2 days ago. CosyVoice leads on adoption by 280% (24,234 vs 6,384 stars). CosyVoice is written in Python under Apache-2.0; deepchat is written in TypeScript under Apache-2.0. CosyVoice has attracted 11% as many forks as stars, deepchat 12%. deepchat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatgpt), 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.

CosyVoice ★ 24K deepchat ★ 6.4K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

CosyVoice deepchat
GitHub stars ★ 24K ★ 6.4K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-05-25 2026-11-01
Forks ⑂ 2.8K ⑂ 769
Self-hosting Yes Yes
Data ownership Your server Your server

pick CosyVoice if

  • You weight community size — 24K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full CosyVoice profile →

pick deepchat if

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

full deepchat profile →

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 →

About deepchat

DeepChat Open Source Local First AI Agent Desktop Client DeepChat is an open source, local first AI agent desktop client with rich agent capabilities, designed around the Tape.systems philosophy, with support for MCP, Skills, ACP, and remote control integrations for messaging apps. 中文 / English / 日本語 ❤️ Sponsor Thanks to APIMart for sponsoring this project! APIMart is a low cost API platform for AI image & video generation — GPT Image 2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of…

read the full deepchat overview →

More in AI & Machine Learning

Related comparisons

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

Frequently asked questions

Is CosyVoice or deepchat more popular?

CosyVoice has 24,234 GitHub stars and deepchat has 6,384. CosyVoice has the larger community by that measure.

Are CosyVoice and deepchat free?

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

What is the difference between CosyVoice and deepchat?

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

Which should I choose, CosyVoice or deepchat?

Choose CosyVoice if you want the larger community (24,234 stars) or its Apache-2.0 licence terms. Choose deepchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.