Berri AI vs Firecrawl

Berri AI (The fastest way to take your LLM app to production) and Firecrawl (Web data API for AI) both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a narrow lead over Firecrawl (rank #122) on the overall Smoower ecosystem score (55 vs 54). The gap of 1 points reflects composite signals across code, docs, community and reach.

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

Berri AI carries 53,652 GitHub stars across 55 public repos, with 19 repositories active in the last 90 days and 254 external contributors on record. Firecrawl shows 199,181 stars across 101 public repos, 28 active in the last 90 days and 130 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 3.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Berri AI is the stronger read for anyone weighting momentum. Firecrawl looks better where education 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.