ggml vs latticeHQ

ggml (AI inference at the edge) and latticeHQ both appear on the Smoower Developer Ecosystem Index.

ggml (rank #103) holds a meaningful lead over latticeHQ (rank #693) on the overall Smoower ecosystem score (55 vs 31). The gap of 24 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 latticeHQ. On education (docs, guides and learning material for developers), ggml is clearly ahead of latticeHQ. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of latticeHQ. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of latticeHQ. On momentum (release cadence and how fast the ecosystem moves), ggml is clearly ahead of latticeHQ.

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. latticeHQ shows 1 stars across 10 public repos, 1 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 191415.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

ggml is the stronger read for anyone weighting reach. latticeHQ 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.