head to head · open source
Langchain-Chatchat vs chatgpt_telegram_bot
Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. chatgpt_telegram_bot has 5,552 stars, 1,907 forks, 56 open issues and last shipped 5 months ago. Langchain-Chatchat leads on adoption by 597% (38,715 vs 5,552 stars). Langchain-Chatchat is written in Python under Apache-2.0; chatgpt_telegram_bot is written in Python under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, chatgpt_telegram_bot 34%. chatgpt_telegram_bot 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 | chatgpt_telegram_bot | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 5.6K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2025-11-10 | 2026-06-14 |
| Forks | ⑂ 6.3K | ⑂ 1.9K |
| 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 chatgpt_telegram_bot if
- You want the chatgpt_telegram_bot feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and chatgpt_telegram_bot 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 chatgpt_telegram_bot
🤖 ChatGPT Telegram Bot ChatGPT, re created as a Telegram bot — and it works great. GPT 5.5 · Anthropic Claude (Opus / Sonnet / Haiku) · Vision · Voice · Image generation Fast replies, no daily limits, message streaming and 15 special chat modes. Web chatbots are great — but they're often laggy, rate limited, and locked behind a browser tab. This project puts the best models from OpenAI and Anthropic right inside Telegram , with your own API keys and no daily limits. 🚀 Try the live bot: @jadvebot · 🌐 Web: jadve.com — or deploy your own in two commands (Quick start ↓). ✨ Features ⚡ Low latency — replies usually…
read the full chatgpt_telegram_bot overview →
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Frequently asked questions
Is Langchain-Chatchat or chatgpt_telegram_bot more popular?
Langchain-Chatchat has 38,715 GitHub stars and chatgpt_telegram_bot has 5,552. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and chatgpt_telegram_bot free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and chatgpt_telegram_bot under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and chatgpt_telegram_bot?
Langchain-Chatchat is written in Python and chatgpt_telegram_bot 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, Langchain-Chatchat or chatgpt_telegram_bot?
Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose chatgpt_telegram_bot if its feature set, stack or MIT licence fits better. Both are self-hostable.