head to head · open source
QwenPaw vs python-telegram-bot
QwenPaw has 37,316 GitHub stars, 3,258 forks, 990 open issues and last shipped yesterday. python-telegram-bot has 29,551 stars, 6,182 forks, 31 open issues and last shipped 4 days ago. QwenPaw leads on adoption by 26% (37,316 vs 29,551 stars). QwenPaw is written in TypeScript under Apache-2.0; python-telegram-bot is written in Python under GPL-3.0. QwenPaw has attracted 9% as many forks as stars, python-telegram-bot 21%. 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.
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Side by side
| QwenPaw | python-telegram-bot | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 30K |
| License | Apache-2.0 | GPL-3.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-04 | 2026-11-01 |
| Forks | ⑂ 3.3K | ⑂ 6.2K |
| 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
pick python-telegram-bot if
- You want the python-telegram-bot feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Python
- You evaluated both and python-telegram-bot fits your workflow better
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 python-telegram-bot
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read the full python-telegram-bot overview →
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Frequently asked questions
Is QwenPaw or python-telegram-bot more popular?
QwenPaw has 37,316 GitHub stars and python-telegram-bot has 29,551. QwenPaw has the larger community by that measure.
Are QwenPaw and python-telegram-bot free?
Both are open source. QwenPaw is licensed under Apache-2.0 and python-telegram-bot under GPL-3.0. Neither carries a licence fee.
What is the difference between QwenPaw and python-telegram-bot?
QwenPaw is written in TypeScript and python-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 python-telegram-bot?
Choose QwenPaw if you want the larger community (37,316 stars) or its Apache-2.0 licence terms. Choose python-telegram-bot if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.