head to head · open source
proxy_pool vs skills
proxy_pool has 23,778 GitHub stars, 5,418 forks, 298 open issues and last shipped 5 months ago. skills has 6,310 stars, 339 forks, 7 open issues and last shipped 2 months ago. proxy_pool leads on adoption by 277% (23,778 vs 6,310 stars). proxy_pool is written in Python under MIT; skills is written in Python under MIT. proxy_pool has attracted 23% as many forks as stars, skills 5%. skills 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
| proxy_pool | skills | |
|---|---|---|
| GitHub stars | ★ 24K | ★ 6.3K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-06-15 | 2026-08-24 |
| Forks | ⑂ 5.4K | ⑂ 339 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick proxy_pool if
- You weight community size — 24K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick skills if
- You want the skills feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and skills fits your workflow better
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 →
About skills
What can BrowserAct be used for? BrowserAct enables AI agents and teams to perform real browser automation, web data extraction, and account based workflows. It helps agents get past anti bot walls, hand off to humans across platforms when stuck, run parallel tasks without cross contamination, and isolate multiple accounts in independent browsers, backed by stealth fingerprints, TLS rotation, residential proxies, CAPTCHA solving, and stable fingerprint proxy setups for authenticated sessions. Two usage modes are available: fully cloud managed execution, or local browser control driven by your own agent workflow…
read the full skills overview →
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Frequently asked questions
Is proxy_pool or skills more popular?
proxy_pool has 23,778 GitHub stars and skills has 6,310. proxy_pool has the larger community by that measure.
Are proxy_pool and skills free?
Both are open source. proxy_pool is licensed under MIT and skills under MIT. Neither carries a licence fee.
What is the difference between proxy_pool and skills?
proxy_pool is written in Python and skills 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, proxy_pool or skills?
Choose proxy_pool if you want the larger community (23,778 stars) or its MIT licence terms. Choose skills if its feature set, stack or MIT licence fits better. Both are self-hostable.