Web data API for AI
The open source vector database designed for AI applications
Firecrawl vs The Milvus Project
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Firecrawl (Web data API for AI) and The Milvus Project (The open source vector database designed for AI applications) both appear on the Smoower Developer Ecosystem Index.
Firecrawl (rank #122) holds a narrow lead over The Milvus Project (rank #237) on the overall Smoower ecosystem score (54 vs 48). The gap of 6 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), The Milvus Project is ahead of Firecrawl. On education (docs, guides and learning material for developers), Firecrawl is ahead of The Milvus Project. On community (issue response, PR reviews and discussion health), The Milvus Project is ahead of Firecrawl. On reach (how visible the ecosystem is beyond its own repos), Firecrawl is slightly ahead of The Milvus Project. On momentum (release cadence and how fast the ecosystem moves), Firecrawl is slightly ahead of The Milvus Project.
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. The Milvus Project shows 52,043 stars across 67 public repos, 20 active in the last 90 days and 90 external contributors. The star gap on its own does not decide the comparison, but Firecrawl's footprint is roughly 3.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Firecrawl is the stronger read for anyone weighting education. The Milvus Project looks better where community 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
| Metric | Firecrawl | The Milvus Project |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #237 |
| Pillars | ||
| Overall | 54 | 48 |
| Code | 48 | 67 |
| Education | 87 | 70 |
| Community | 52 | 72 |
| Reach | 27 | 25 |
| Momentum | 37 | 33 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 199,181 | 52,043 |
| Forks | 17,907 | 7,062 |
| Public repos | 101 | 67 |
| Active repos (90d) | 28 | 20 |
| External contributors | 130 | 90 |
| Avg polish | 48 | 69 |
| Avg AI-readiness | 39 | 54 |