Firecrawl vs Zilliz

Firecrawl (Web data API for AI) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.

Firecrawl and Zilliz 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), Zilliz is ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is slightly ahead of Zilliz. On community (issue response, PR reviews and discussion health), Firecrawl is slightly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), Zilliz is slightly ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Zilliz is 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. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 5.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting education. Zilliz looks better where code quality 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.