ggml vs Ollama

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

ggml (rank #103) holds a narrow lead over Ollama (rank #122) on the overall Smoower ecosystem score (55 vs 54). The gap of 1 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Ollama is ahead of ggml. On education (docs, guides and learning material for developers), ggml is slightly ahead of Ollama. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Ollama. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Ollama. On momentum (release cadence and how fast the ecosystem moves), Ollama is clearly 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. Ollama shows 190,304 stars across 4 public repos, 3 active in the last 90 days and 241 external contributors.

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