head to head · open source

QwenPaw vs chatgpt_telegram_bot

QwenPaw has 37,316 GitHub stars, 3,258 forks, 990 open issues and last shipped yesterday. chatgpt_telegram_bot has 5,552 stars, 1,907 forks, 56 open issues and last shipped 5 months ago. QwenPaw leads on adoption by 572% (37,316 vs 5,552 stars). QwenPaw is written in TypeScript under Apache-2.0; chatgpt_telegram_bot is written in Python under MIT. QwenPaw has attracted 9% as many forks as stars, chatgpt_telegram_bot 34%. QwenPaw 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.

QwenPaw ★ 37K chatgpt_telegram_bot ★ 5.6K category AI & Machine Learning

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Side by side

QwenPaw chatgpt_telegram_bot
GitHub stars ★ 37K ★ 5.6K
License Apache-2.0 MIT
Written in TypeScript Python
Last push 2026-11-04 2026-06-14
Forks ⑂ 3.3K ⑂ 1.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick QwenPaw if

  • You weight community size — 37K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full QwenPaw profile →

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

full chatgpt_telegram_bot profile →

About QwenPaw

QwenPaw [Documentation] [中文] [日本語] [Русский] Works for you, grows with you. Your personal AI assistant — deploy locally or in the cloud, extend with Skills & Plugins, connect across every channel. What you can do with QwenPaw Automation & scheduling : Set up recurring tasks — news digests, report generation, multi channel broadcasting — all on your schedule. Code & development : Read, edit, review, and test code in your projects with the unified file workspace. Document processing : Read, write, and convert PDF, Word, Excel, and PowerPoint files. Information gathering : Search the web, follow subscriptions…

read the full QwenPaw 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 QwenPaw or chatgpt_telegram_bot more popular?

QwenPaw has 37,316 GitHub stars and chatgpt_telegram_bot has 5,552. QwenPaw has the larger community by that measure.

Are QwenPaw and chatgpt_telegram_bot free?

Both are open source. QwenPaw is licensed under Apache-2.0 and chatgpt_telegram_bot under MIT. Neither carries a licence fee.

What is the difference between QwenPaw and chatgpt_telegram_bot?

QwenPaw is written in TypeScript 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, QwenPaw or chatgpt_telegram_bot?

Choose QwenPaw if you want the larger community (37,316 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.