head to head · open source

Langchain-Chatchat vs telegram-bot-sdk

Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. telegram-bot-sdk has 3,299 stars, 675 forks, 29 open issues and last shipped 3 months ago. Langchain-Chatchat leads on adoption by 1,074% (38,715 vs 3,299 stars). Langchain-Chatchat is written in Python under Apache-2.0; telegram-bot-sdk is written in PHP under BSD-3-Clause. Langchain-Chatchat has attracted 16% as many forks as stars, telegram-bot-sdk 20%. telegram-bot-sdk 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.

Langchain-Chatchat ★ 39K telegram-bot-sdk ★ 3.3K category AI & Machine Learning

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Side by side

Langchain-Chatchat telegram-bot-sdk
GitHub stars ★ 39K ★ 3.3K
License Apache-2.0 BSD-3-Clause
Written in Python PHP
Last push 2025-11-10 2026-08-20
Forks ⑂ 6.3K ⑂ 675
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

full Langchain-Chatchat profile →

pick telegram-bot-sdk if

  • You want the telegram-bot-sdk feature set and don't need the biggest community
  • You prefer the BSD-3-Clause license terms
  • Your stack matches PHP
  • You evaluated both and telegram-bot-sdk fits your workflow better

full telegram-bot-sdk profile →

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 telegram-bot-sdk

[ ][link repo] Telegram Bot API PHP SDK ========================== Telegram Bot PHP SDK lets you develop Telegram Bots in PHP easily! Supports Laravel out of the box. [Telegram Bot API][link telegram bot api] is an HTTP based interface created for developers keen on building bots for Telegram. To learn more about the Telegram Bot API, please consult the [Introduction to Bots][link telegram bot api] and Bot FAQ on official Telegram site. To get started writing your bots using this SDK, Please refer the [documentation][link docs]. Supported Versions Only the latest released version of the SDK is supported. To…

read the full telegram-bot-sdk overview →

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Frequently asked questions

Is Langchain-Chatchat or telegram-bot-sdk more popular?

Langchain-Chatchat has 38,715 GitHub stars and telegram-bot-sdk has 3,299. Langchain-Chatchat has the larger community by that measure.

Are Langchain-Chatchat and telegram-bot-sdk free?

Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and telegram-bot-sdk under BSD-3-Clause. Neither carries a licence fee.

What is the difference between Langchain-Chatchat and telegram-bot-sdk?

Langchain-Chatchat is written in Python and telegram-bot-sdk in PHP. 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 telegram-bot-sdk?

Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose telegram-bot-sdk if its feature set, stack or BSD-3-Clause licence fits better. Both are self-hostable.