Firecrawl vs LM Studio

Firecrawl (Web data API for AI) and LM Studio (Discover, download, and run local LLMs) both appear on the Smoower Developer Ecosystem Index.

Firecrawl (rank #122) holds a narrow lead over LM Studio (rank #165) on the overall Smoower ecosystem score (54 vs 51). The gap of 3 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), LM Studio is slightly ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is slightly ahead of LM Studio. On community (issue response, PR reviews and discussion health), Firecrawl is slightly ahead of LM Studio. On reach (how visible the ecosystem is beyond its own repos), LM Studio is clearly ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), LM Studio is slightly 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. LM Studio shows 10,521 stars across 11 public repos, 5 active in the last 90 days and 42 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 18.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting community. LM Studio looks better where reach 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.