AI inference at the edge
ggml vs Luciq
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ggml (AI inference at the edge) and Luciq (Agentic observability built exclusively for mobile) both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a modest lead over Luciq (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), Luciq is slightly ahead of ggml. On education (docs, guides and learning material for developers), ggml is clearly ahead of Luciq. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Luciq. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Luciq. On momentum (release cadence and how fast the ecosystem moves), ggml is slightly ahead of Luciq.
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. Luciq shows 1,071 stars across 44 public repos, 1 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 178.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ggml is the stronger read for anyone weighting reach. Luciq looks better where code quality 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 | Luciq |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #569 |
| Pillars | ||
| Overall | 55 | 35 |
| Code | 47 | 48 |
| Education | 78 | 56 |
| Community | 80 | 27 |
| Reach | 90 | 21 |
| Momentum | 34 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 191,415 | 1,071 |
| Forks | 28,215 | 353 |
| Public repos | 22 | 44 |
| Active repos (90d) | 15 | 1 |
| External contributors | 308 | 0 |
| Avg polish | 50 | 50 |
| Avg AI-readiness | 32 | 34 |