Chroma vs ggml
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Chroma and ggml (AI inference at the edge) both appear on the Smoower Developer Ecosystem Index.
ggml (rank #103) holds a narrow lead over Chroma (rank #209) on the overall Smoower ecosystem score (55 vs 49). The gap of 6 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 Chroma. On education (docs, guides and learning material for developers), Chroma is slightly ahead of ggml. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Chroma. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Chroma. On momentum (release cadence and how fast the ecosystem moves), ggml is clearly ahead of Chroma.
Chroma carries 30,602 GitHub stars across 29 public repos, with 6 repositories active in the last 90 days and 94 external contributors on record. ggml shows 191,415 stars across 22 public repos, 15 active in the last 90 days and 308 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 6.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Chroma 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 | Chroma | ggml |
|---|---|---|
| Ranking | ||
| Overall rank | #209 | #103 |
| Pillars | ||
| Overall | 49 | 55 |
| Code | 41 | 47 |
| Education | 84 | 78 |
| Community | 42 | 80 |
| Reach | 40 | 90 |
| Momentum | 12 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,602 | 191,415 |
| Forks | 2,770 | 28,215 |
| Public repos | 29 | 22 |
| Active repos (90d) | 6 | 15 |
| External contributors | 94 | 308 |
| Avg polish | 44 | 50 |
| Avg AI-readiness | 33 | 32 |