Deepgram vs Firecrawl

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

Deepgram (rank #63) holds a narrow lead over Firecrawl (rank #122) on the overall Smoower ecosystem score (59 vs 54). The gap of 5 points reflects composite signals across code, docs, community and reach.

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

Deepgram carries 2,538 GitHub stars across 115 public repos, with 47 repositories active in the last 90 days and 30 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 78.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Deepgram 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.