AI inference at the edge
ggml vs kakao
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ggml (AI inference at the edge) and kakao both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a narrow lead over kakao (rank #257) on the overall Smoower ecosystem score (55 vs 47). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), kakao is ahead of ggml. On education (docs, guides and learning material for developers), ggml is clearly ahead of kakao. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of kakao. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of kakao. On momentum (release cadence and how fast the ecosystem moves), kakao is 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. kakao shows 6,073 stars across 71 public repos, 12 active in the last 90 days and 8 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 31.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ggml is the stronger read for anyone weighting reach. kakao 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 | kakao |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #257 |
| Pillars | ||
| Overall | 55 | 47 |
| Code | 47 | 56 |
| Education | 78 | 44 |
| Community | 80 | 51 |
| Reach | 90 | 32 |
| Momentum | 34 | 52 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 191,415 | 6,073 |
| Forks | 28,215 | 1,153 |
| Public repos | 22 | 71 |
| Active repos (90d) | 15 | 12 |
| External contributors | 308 | 8 |
| Avg polish | 50 | 61 |
| Avg AI-readiness | 32 | 29 |