AssemblyAI vs Firecrawl

AssemblyAI (Advanced Speech-to-Text) and Firecrawl (Web data API for AI) both appear on the Smoower Developer Ecosystem Index.

Firecrawl (rank #122) holds a modest lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (54 vs 41). The gap of 13 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 AssemblyAI. On education (docs, guides and learning material for developers), Firecrawl is ahead of AssemblyAI. On community (issue response, PR reviews and discussion health), Firecrawl is ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), AssemblyAI is ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Firecrawl is clearly ahead of AssemblyAI.

AssemblyAI carries 1,025 GitHub stars across 67 public repos, with 8 repositories active in the last 90 days and 11 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 194.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

AssemblyAI is the stronger read for anyone weighting reach. Firecrawl 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.