Developer ecosystem comparison
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Firecrawl vs Qdrant

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Firecrawl (Web data API for AI) and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.

Qdrant (rank #5) holds a modest lead over Firecrawl (rank #122) on the overall Smoower ecosystem score (71 vs 54). The gap of 17 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Qdrant is clearly ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is slightly ahead of Qdrant. On community (issue response, PR reviews and discussion health), Qdrant is slightly ahead of Firecrawl. On reach (how visible the ecosystem is beyond its own repos), Qdrant is clearly ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Qdrant 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. Qdrant shows 44,949 stars across 132 public repos, 89 active in the last 90 days and 100 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 4.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Firecrawl is the stronger read for anyone weighting education. Qdrant 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.

Side-by-side metrics

MetricFirecrawlQdrant
Ranking
Overall rank#122#5
Pillars
Overall5471
Code4870
Education8786
Community5259
Reach2750
Momentum3766
Builder experience00
Signals
Stars199,18144,949
Forks17,9074,410
Public repos101132
Active repos (90d)2889
External contributors130100
Avg polish4870
Avg AI-readiness3949

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