Firecrawl vs sgl-project

Firecrawl (Web data API for AI) and sgl-project both appear on the Smoower Developer Ecosystem Index.

Firecrawl (rank #122) holds a narrow lead over sgl-project (rank #278) on the overall Smoower ecosystem score (54 vs 46). The gap of 8 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), sgl-project is slightly ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is ahead of sgl-project. On community (issue response, PR reviews and discussion health), sgl-project is clearly ahead of Firecrawl. On reach (how visible the ecosystem is beyond its own repos), Firecrawl is ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), sgl-project is slightly ahead of Firecrawl.

Firecrawl carries 199,181 GitHub stars across 101 public repos, with 28 repositories active in the last 90 days and 130 external contributors on record. sgl-project shows 38,333 stars across 26 public repos, 20 active in the last 90 days and 349 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 5.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting reach. sgl-project looks better where community is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.