AI inference at the edge
ggml vs Mintlify
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ggml (AI inference at the edge) and Mintlify (The intelligent knowledge platform) both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a narrow lead over Mintlify (rank #165) on the overall Smoower ecosystem score (55 vs 51). The gap of 4 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), ggml is slightly ahead of Mintlify. On education (docs, guides and learning material for developers), ggml is ahead of Mintlify. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Mintlify. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Mintlify. On momentum (release cadence and how fast the ecosystem moves), Mintlify is clearly ahead of ggml.
ggml carries 191,415 GitHub stars across 22 public repos, with 15 repositories active in the last 90 days and 308 external contributors on record. Mintlify shows 5,966 stars across 36 public repos, 19 active in the last 90 days and 32 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 32.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ggml is the stronger read for anyone weighting reach. Mintlify 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
| Metric | ggml | Mintlify |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #165 |
| Pillars | ||
| Overall | 55 | 51 |
| Code | 47 | 44 |
| Education | 78 | 66 |
| Community | 80 | 44 |
| Reach | 90 | 37 |
| Momentum | 34 | 60 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 191,415 | 5,966 |
| Forks | 28,215 | 1,035 |
| Public repos | 22 | 36 |
| Active repos (90d) | 15 | 19 |
| External contributors | 308 | 32 |
| Avg polish | 50 | 48 |
| Avg AI-readiness | 32 | 24 |