head to head · open source
ProxyPool vs learn-agentic-ai
ProxyPool has 6,249 GitHub stars, 2,228 forks, 2 open issues and last shipped 3 months ago. learn-agentic-ai has 4,375 stars, 1,010 forks, 59 open issues and last shipped 11 months ago. ProxyPool leads on adoption by 43% (6,249 vs 4,375 stars). ProxyPool is written in Python under MIT; learn-agentic-ai is written in Jupyter Notebook under MIT. ProxyPool has attracted 36% as many forks as stars, learn-agentic-ai 23%. ProxyPool 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
| ProxyPool | learn-agentic-ai | |
|---|---|---|
| GitHub stars | ★ 6.2K | ★ 4.4K |
| License | MIT | MIT |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-07-04 | 2025-10-26 |
| Forks | ⑂ 2.2K | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ProxyPool if
- You weight community size — 6.2K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick learn-agentic-ai if
- You want the learn-agentic-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and learn-agentic-ai fits your workflow better
About ProxyPool
ProxyPool is an MIT licensed Python proxy pool that continuously scrapes free public proxy sources, validates them through scheduled testing, stores them in Redis, and serves working proxies over a random selection HTTP API for web scraping and spider projects.
read the full ProxyPool overview →
About learn-agentic-ai
learn agentic ai is an MIT licensed Jupyter Notebook learning repository from Panaversity that teaches developers how to design and scale agentic AI systems using the Dapr Agentic Cloud Ascent (DACA) design pattern and agent native cloud technologies.
read the full learn-agentic-ai overview →
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Frequently asked questions
Is ProxyPool or learn-agentic-ai more popular?
ProxyPool has 6,249 GitHub stars and learn-agentic-ai has 4,375. ProxyPool has the larger community by that measure.
Are ProxyPool and learn-agentic-ai free?
Both are open source. ProxyPool is licensed under MIT and learn-agentic-ai under MIT. Neither carries a licence fee.
What is the difference between ProxyPool and learn-agentic-ai?
ProxyPool is written in Python and learn-agentic-ai in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ProxyPool or learn-agentic-ai?
Choose ProxyPool if you want the larger community (6,249 stars) or its MIT licence terms. Choose learn-agentic-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.