Feynman vs Firecrawl

Side-by-side comparison of two AI agent tools

Short answer

  • Firecrawl is growing faster: +14,035 GitHub stars in the last 30 days vs +140 for Feynman.
  • Pick Feynman for: the open source AI research agent. Pick Firecrawl for: the Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data.

From GitHub data refreshed daily.

F
Feynmanopen-source

The open source AI research agent.

πŸ”₯ The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

Metrics

FeynmanFirecrawl
Stars9.9k188.1k
Star velocity /mo14014.0k
Commits (90d)493600
Releases (6m)103
Downloads (30d, npm + PyPI)142.6K4.0M
Overall score0.7261400813016610.8339842430155152

Pros

    • +Industry-leading reliability with >80% success rate on complex websites including JavaScript-heavy and dynamic content
    • +AI-optimized output formats with clean markdown and structured data specifically designed for LLM consumption
    • +Comprehensive feature set including media parsing, interactive actions, batch processing, and authentication support

    Cons

      • -Repository is still in development and not fully ready for self-hosted deployment
      • -API-based service likely requires subscription pricing for production use
      • -As a relatively new tool, long-term stability and support ecosystem may be uncertain

      Use Cases

        • β€’Building AI agents that need real-time web context and competitor intelligence
        • β€’Creating training datasets for LLMs by scraping and cleaning large volumes of web content
        • β€’Automating content monitoring and change detection for business intelligence applications
        View Feynman DetailsView Firecrawl Details

        FAQ

        Which is more popular, Feynman or Firecrawl?
        Firecrawl has more GitHub stars (188,094 vs 9,865).
        Which is more actively developed, Feynman or Firecrawl?
        Firecrawl had more commits in the last 90 days (600 vs 493).
        Should I use Feynman or Firecrawl?
        Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.