head to head · open source
Langchain-Chatchat vs tmi.js
Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. tmi.js has 1,590 stars, 202 forks, 34 open issues and last shipped 12 months ago. Langchain-Chatchat leads on adoption by 2,335% (38,715 vs 1,590 stars). Langchain-Chatchat is written in Python under Apache-2.0; tmi.js is written in JavaScript under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, tmi.js 13%. tmi.js 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.
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Side by side
| Langchain-Chatchat | tmi.js | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 1.6K |
| License | Apache-2.0 | MIT |
| Written in | Python | JavaScript |
| Last push | 2025-11-10 | 2025-11-21 |
| Forks | ⑂ 6.3K | ⑂ 202 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langchain-Chatchat if
- You weight community size — 39K 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
pick tmi.js if
- You want the tmi.js feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and tmi.js fits your workflow better
About Langchain-Chatchat
🌍 READ THIS IN ENGLISH 📃 LangChain Chatchat (原 Langchain ChatGLM) 基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现，开源、可离线部署的 RAG 与 Agent 应用项目。 目录 概述 功能介绍 0.3.x 功能一览 已支持的模型推理框架与模型 快速上手 pip 安装部署 源码安装部署/开发部署 Docker 部署 项目里程碑 联系我们 概述 🤖️ 一种利用 langchain 思想实现的基于本地知识库的问答应用，目标期望建立一套对中文场景与开源模型支持友好、可离线运行的知识库问答解决方案。 💡 受 GanymedeNil 的项目 document.ai 和 AlexZhangji 创建的 ChatGLM 6B Pull Request 启发，建立了全流程可使用开源模型实现的本地知识库问答应用。本项目的最新版本中可使用 Xinference、Ollama 等框架接入 GLM 4 Chat、 Qwen2 Instruct、 Llama3 等模型，依托于 langchain 框架支持通过基于 FastAPI 提供的 API 调用服务，或使用基于 Streamlit 的 WebUI 进行操作。 ✅ 本项目支持市面上主流的开源 LLM、 Embedding 模型与向量数据库，可实现全部使用 开源 模型 离线私有部署…
read the full Langchain-Chatchat overview →
About tmi.js
tmi.js Website Documentation currently at tmijs/docs Changelog on the release page Install Node Browser Available as " tmi " on window . Prebuilt Browser Releases Release page Build Yourself Type Definitions Community Follow @AlcaMagic on Twitter, Alca on Twitch. Follow @Schmoopiie on Twitter. Found a bug: submit an issue. Discussion and help about tmi.js: Twitch API Discord Server For everything else: Official TwitchDev Discord Server Contributors Thanks to all of the tmi.js contributors! Contributing guidelines Please review the guidelines for contributing of the tmi.js repository. We reserve the right to…
read the full tmi.js overview →
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Frequently asked questions
Is Langchain-Chatchat or tmi.js more popular?
Langchain-Chatchat has 38,715 GitHub stars and tmi.js has 1,590. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and tmi.js free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and tmi.js under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and tmi.js?
Langchain-Chatchat is written in Python and tmi.js in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langchain-Chatchat or tmi.js?
Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose tmi.js if its feature set, stack or MIT licence fits better. Both are self-hostable.