head to head · open source
Browser Use vs ClawBench
Browser Use has 117,160 GitHub stars, 12,931 forks, 421 open issues and last shipped 2 days ago. ClawBench has 945 stars, 62 forks, 52 open issues and last shipped 15 days ago. Browser Use leads on adoption by 12,298% (117,160 vs 945 stars). Browser Use is written in Python under MIT; ClawBench is written in Python under Apache-2.0. Browser Use has attracted 11% as many forks as stars, ClawBench 7%. Browser Use was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-agents, browser-automation, browser-use, llm), 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
| Browser Use | ClawBench | |
|---|---|---|
| GitHub stars | ★ 117K | ★ 945 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-03 | 2026-09-20 |
| Forks | ⑂ 13K | ⑂ 62 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Browser Use if
- You weight community size — 117K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ClawBench if
- You want the ClawBench feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ClawBench fits your workflow better
About Browser Use
Browser Use is an open source Python library and hosted platform that enables AI agents to control web browsers programmatically. It lives in the AI agent and browser automation ecosystem, built on Playwright and designed to let LLMs interact with websites as a human would—clicking, filling forms, solving CAPTCHAs, and navigating dynamic interfaces. The project provides three deployment paths: a fully hosted cloud service, a command line interface for existing agents, and a local Python library for custom integrations.
read the full Browser Use overview →
About ClawBench
ClawBench is an open source benchmark that evaluates how reliably AI browser agents can complete everyday online tasks — such as booking travel, ordering food, applying for jobs, and managing email — across live websites, and it is aimed at researchers and developers building or comparing web agents.
read the full ClawBench overview →
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Frequently asked questions
Is Browser Use or ClawBench more popular?
Browser Use has 117,160 GitHub stars and ClawBench has 945. Browser Use has the larger community by that measure.
Are Browser Use and ClawBench free?
Both are open source. Browser Use is licensed under MIT and ClawBench under Apache-2.0. Neither carries a licence fee.
What is the difference between Browser Use and ClawBench?
Browser Use is written in Python and ClawBench 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, Browser Use or ClawBench?
Choose Browser Use if you want the larger community (117,160 stars) or its MIT licence terms. Choose ClawBench if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.