head to head · open source
colly vs proxy_pool
colly has 25,572 GitHub stars, 1,859 forks, 195 open issues and last shipped 18 days ago. proxy_pool has 23,778 stars, 5,418 forks, 298 open issues and last shipped 5 months ago. colly leads on adoption by 8% (25,572 vs 23,778 stars). colly is written in Go under Apache-2.0; proxy_pool is written in Python under MIT. colly has attracted 7% as many forks as stars, proxy_pool 23%. colly was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (crawler, spider), 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
| colly | proxy_pool | |
|---|---|---|
| GitHub stars | ★ 26K | ★ 24K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-10-16 | 2026-06-15 |
| Forks | ⑂ 1.9K | ⑂ 5.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick colly if
- You weight community size — 26K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- 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 colly
Colly Lightning Fast and Elegant Scraping Framework for Gophers Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Sponsors NodeMaven: The most efficient proxy provider for Web Scrapping and Automation with the Highest Quality IP on the market. Why NodeMaven? 99.9% uptime ZIP Targeting IP filtering: all proxies have fraud score 1k request/sec on a single core) Manages request delays and maximum concurrency per domain…
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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 colly or proxy_pool more popular?
colly has 25,572 GitHub stars and proxy_pool has 23,778. colly has the larger community by that measure.
Are colly and proxy_pool free?
Both are open source. colly is licensed under Apache-2.0 and proxy_pool under MIT. Neither carries a licence fee.
What is the difference between colly and proxy_pool?
colly is written in Go 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, colly or proxy_pool?
Choose colly if you want the larger community (25,572 stars) or its Apache-2.0 licence terms. Choose proxy_pool if its feature set, stack or MIT licence fits better. Both are self-hostable.