Anthropic vs ggml

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

Anthropic (rank #30) holds a narrow lead over ggml (rank #103) on the overall Smoower ecosystem score (63 vs 55). 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), ggml is slightly ahead of Anthropic. On education (docs, guides and learning material for developers), Anthropic is slightly ahead of ggml. On community (issue response, PR reviews and discussion health), ggml is ahead of Anthropic. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Anthropic. On momentum (release cadence and how fast the ecosystem moves), Anthropic is ahead of ggml.

Anthropic carries 584,015 GitHub stars across 92 public repos, with 46 repositories active in the last 90 days and 911 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 Anthropic's footprint is roughly 3.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Anthropic is the stronger read for anyone weighting momentum. 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.