head to head · open source
Langchain-Chatchat vs node-telegram-bot-api
Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. node-telegram-bot-api has 9,217 stars, 1,647 forks, 1 open issues and last shipped yesterday. Langchain-Chatchat leads on adoption by 320% (38,715 vs 9,217 stars). Langchain-Chatchat is written in Python under Apache-2.0; node-telegram-bot-api is written in TypeScript under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, node-telegram-bot-api 18%. node-telegram-bot-api 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 | node-telegram-bot-api | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 9.2K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2025-11-10 | 2026-11-04 |
| Forks | ⑂ 6.3K | ⑂ 1.6K |
| 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 node-telegram-bot-api if
- You want the node-telegram-bot-api feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and node-telegram-bot-api 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 node-telegram-bot-api
✨ A Modern Telegram Bot API Library ✨ v2 is a from scratch redesign, no v1 compatibility. Coming from v1? See the v1 v2 migration guide in the changelog. 📦 Install Runs on Bun, modern Node.js, Deno, Cloudflare Workers and Vercel Functions λ 🚀 Usage 📡 Calling the API directly Api mirrors the wire API 1:1 one method per Bot API method, each taking a single params object. 🧩 Middleware koa style middleware around every update; on / command / hears are filters in the same chain. Wrap downstream work with await next() . ⌨️ Keyboards & formatting Structured fields are plain typed objects pass a literal or use a…
read the full node-telegram-bot-api overview →
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Frequently asked questions
Is Langchain-Chatchat or node-telegram-bot-api more popular?
Langchain-Chatchat has 38,715 GitHub stars and node-telegram-bot-api has 9,217. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and node-telegram-bot-api free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and node-telegram-bot-api under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and node-telegram-bot-api?
Langchain-Chatchat is written in Python and node-telegram-bot-api 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, Langchain-Chatchat or node-telegram-bot-api?
Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose node-telegram-bot-api if its feature set, stack or MIT licence fits better. Both are self-hostable.