AI inference at the edge
ggml vs Sardine
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ggml (AI inference at the edge) and Sardine both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a modest lead over Sardine (rank #569) on the overall Smoower ecosystem score (55 vs 35). The gap of 20 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), ggml is ahead of Sardine. On education (docs, guides and learning material for developers), ggml is ahead of Sardine. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Sardine. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Sardine. On momentum (release cadence and how fast the ecosystem moves), ggml is clearly ahead of Sardine.
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. Sardine shows 19 stars across 55 public repos, 5 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 10074.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ggml is the stronger read for anyone weighting community. Sardine makes more sense for teams already using its adjacent tools. 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 | Sardine |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #569 |
| Pillars | ||
| Overall | 55 | 35 |
| Code | 47 | 36 |
| Education | 78 | 66 |
| Community | 80 | 25 |
| Reach | 90 | 44 |
| Momentum | 34 | 9 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 191,415 | 19 |
| Forks | 28,215 | 8 |
| Public repos | 22 | 55 |
| Active repos (90d) | 15 | 5 |
| External contributors | 308 | 5 |
| Avg polish | 50 | 34 |
| Avg AI-readiness | 32 | 31 |