Firecrawl vs Weaviate

Firecrawl (Web data API for AI) and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.

Firecrawl (rank #122) holds a narrow lead over Weaviate (rank #152) on the overall Smoower ecosystem score (54 vs 52). The gap of 2 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Weaviate is slightly ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is slightly ahead of Weaviate. On community (issue response, PR reviews and discussion health), Firecrawl is slightly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), Weaviate is ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Weaviate is clearly 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. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 6.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting community. Weaviate looks better where momentum 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.