ggml vs TopK

ggml (AI inference at the edge) and TopK (Pushing state of the art, one flamegraph at a time.) both appear on the Smoower Developer Ecosystem Index.

ggml (rank #103) holds a modest lead over TopK (rank #536) on the overall Smoower ecosystem score (55 vs 36). The gap of 19 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 TopK. On education (docs, guides and learning material for developers), ggml is ahead of TopK. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of TopK. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of TopK. On momentum (release cadence and how fast the ecosystem moves), ggml is slightly ahead of TopK.

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. TopK shows 87 stars across 12 public repos, 8 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but ggml's footprint is roughly 2200.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

ggml is the stronger read for anyone weighting community. TopK 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.