Web data API for AI
Firecrawl vs ggml
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Firecrawl (Web data API for AI) and ggml (AI inference at the edge) both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a narrow lead over Firecrawl (rank #122) on the overall Smoower ecosystem score (55 vs 54). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Firecrawl is slightly ahead of ggml. On education (docs, guides and learning material for developers), Firecrawl is ahead of ggml. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Firecrawl. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Firecrawl. On momentum (release cadence and how fast the ecosystem moves), Firecrawl is slightly ahead of ggml.
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. ggml shows 191,415 stars across 22 public repos, 15 active in the last 90 days and 308 external contributors.
Firecrawl is the stronger read for anyone weighting education. ggml 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.
Side-by-side metrics
| Metric | Firecrawl | ggml |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #103 |
| Pillars | ||
| Overall | 54 | 55 |
| Code | 48 | 47 |
| Education | 87 | 78 |
| Community | 52 | 80 |
| Reach | 27 | 90 |
| Momentum | 37 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 199,181 | 191,415 |
| Forks | 17,907 | 28,215 |
| Public repos | 101 | 22 |
| Active repos (90d) | 28 | 15 |
| External contributors | 130 | 308 |
| Avg polish | 48 | 50 |
| Avg AI-readiness | 39 | 32 |