deepset vs Firecrawl

deepset (Building enterprise search systems powered by latest NLP & open-source.) and Firecrawl (Web data API for AI) both appear on the Smoower Developer Ecosystem Index.

deepset and Firecrawl sit at essentially the same overall ecosystem score (54), which is unusual and worth reading through the pillars below.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 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 6.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset is the stronger read for anyone weighting reach. 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.