head to head · open source

Scrapegraph-ai vs atomic-agent

Scrapegraph-ai has 32,747 GitHub stars, 3,341 forks, 16 open issues and last shipped 1 months ago. atomic-agent has 3,631 stars, 294 forks, 163 open issues and last shipped yesterday. Scrapegraph-ai leads on adoption by 802% (32,747 vs 3,631 stars). Scrapegraph-ai is written in Python under MIT; atomic-agent is written in TypeScript under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, atomic-agent 8%. atomic-agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

Scrapegraph-ai ★ 33K atomic-agent ★ 3.6K category Data & Analytics

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Side by side

Scrapegraph-ai atomic-agent
GitHub stars ★ 33K ★ 3.6K
License MIT MIT
Written in Python TypeScript
Last push 2026-10-06 2026-11-12
Forks ⑂ 3.3K ⑂ 294
Self-hosting Yes Yes
Data ownership Your server Your server

pick Scrapegraph-ai if

  • You weight community size — 33K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Scrapegraph-ai profile →

pick atomic-agent if

  • You want the atomic-agent feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and atomic-agent fits your workflow better

full atomic-agent profile →

About Scrapegraph-ai

🚀 Looking for an even faster and simpler way to scrape at scale (only 5 lines of code)? Check out our enhanced version at ScrapeGraphAI.com ! 🚀 🕷️ ScrapeGraphAI: You Only Scrape Once English 中文 日本語 한국어 Русский Türkçe Deutsch Español français Português Italiano ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you! 🚀 Integrations ScrapeGraphAI offers seamless integration with popular frameworks and tools…

read the full Scrapegraph-ai overview →

About atomic-agent

Atomic Agent A local first AI agent that runs on your machine, with local or cloud models. Drives your browser, edits files, runs approved commands, and remembers context across sessions. Open source, running on our TurboQuant llama.cpp so long sessions with small local models fit in less memory. Quick Install · Uninstall · Benchmarks · Why Local First · Ways to Use It · Docs A local first AI agent that runs the control loop and all state on your machine. It works across your machine: browse the web, read and edit files, run approved shell commands, inspect documents, remember context across sessions, schedule…

read the full atomic-agent overview →

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Frequently asked questions

Is Scrapegraph-ai or atomic-agent more popular?

Scrapegraph-ai has 32,747 GitHub stars and atomic-agent has 3,631. Scrapegraph-ai has the larger community by that measure.

Are Scrapegraph-ai and atomic-agent free?

Both are open source. Scrapegraph-ai is licensed under MIT and atomic-agent under MIT. Neither carries a licence fee.

What is the difference between Scrapegraph-ai and atomic-agent?

Scrapegraph-ai is written in Python and atomic-agent in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Scrapegraph-ai or atomic-agent?

Choose Scrapegraph-ai if you want the larger community (32,747 stars) or its MIT licence terms. Choose atomic-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.