head to head · open source
dots vs proxy_pool
dots has 32,357 GitHub stars, 4,739 forks, 0 open issues and last shipped 3 days ago. proxy_pool has 23,778 stars, 5,418 forks, 298 open issues and last shipped 5 months ago. dots leads on adoption by 36% (32,357 vs 23,778 stars). dots is written in TypeScript under MIT; proxy_pool is written in Python under MIT. dots has attracted 15% as many forks as stars, proxy_pool 23%. dots was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| dots | proxy_pool | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 24K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-10-31 | 2026-06-15 |
| Forks | ⑂ 4.7K | ⑂ 5.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick dots if
- You weight community size — 32K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick proxy_pool if
- You want the proxy_pool feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and proxy_pool fits your workflow better
About dots
dots Every AI agent is a model and a browser. You can swap the model with one flag. The browser is what the website sees. Windows, in PowerShell: Linux: Then open The conversation on the left, the browser on the right, live. It all comes down to the browser When a web agent fails, the model is rarely why. The page never loaded, a challenge appeared, the login expired, the click did not land. All of that happens in the browser, before the model gets to think. So dots is built around one: A real Firefox engine, patched in C++. The fingerprint is decided inside the engine, not painted over with JavaScript that a…
About proxy_pool
ProxyPool 爬虫代理IP池 ======= ( ) 0: try: html = requests.get(' proxies={"http": " 使用代理访问 return html except Exception: retry count = 1 删除代理池中代理 delete proxy(proxy) return None python from fetcher.baseFetcher import BaseFetcher from util.webRequest import WebRequest class MyProxyFetcher(BaseFetcher): """我的代理源""" name = "myproxy" url = " enabled = True def fetch(self): r = WebRequest().get(" for item in r.json: yield item["ip"] + ":" + item["port"] 2、添加好后， schedule 进程下次抓取时会自动扫描 fetcher/sources/ 目录并启用新代理源，无需修改配置。 可用 python proxyPool.py fetcher 命令查看当前启用的代理源列表。 如需临时禁用某个代理源，在 setting.py 的 PROXY FETCHER EXCLUDE 黑名单中添加其…
read the full proxy_pool overview →
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Frequently asked questions
Is dots or proxy_pool more popular?
dots has 32,357 GitHub stars and proxy_pool has 23,778. dots has the larger community by that measure.
Are dots and proxy_pool free?
Both are open source. dots is licensed under MIT and proxy_pool under MIT. Neither carries a licence fee.
What is the difference between dots and proxy_pool?
dots is written in TypeScript and proxy_pool 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, dots or proxy_pool?
Choose dots if you want the larger community (32,357 stars) or its MIT licence terms. Choose proxy_pool if its feature set, stack or MIT licence fits better. Both are self-hostable.