Firecrawl vs Hugging Face

Firecrawl (Web data API for AI) and Hugging Face (The AI community building the future.) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a meaningful lead over Firecrawl (rank #122) on the overall Smoower ecosystem score (75 vs 54). The gap of 21 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Hugging Face is clearly ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is slightly ahead of Hugging Face. On community (issue response, PR reviews and discussion health), Hugging Face is clearly ahead of Firecrawl. On reach (how visible the ecosystem is beyond its own repos), Hugging Face is clearly ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Hugging Face 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. Hugging Face shows 652,474 stars across 454 public repos, 81 active in the last 90 days and 865 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 3.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting education. Hugging Face 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.