ggml vs litellm

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

ggml (rank #103) holds a meaningful lead over litellm (rank #1114) on the overall Smoower ecosystem score (55 vs 7). The gap of 48 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), ggml is clearly ahead of litellm. On education (docs, guides and learning material for developers), ggml is clearly ahead of litellm. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of litellm. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of litellm. On momentum (release cadence and how fast the ecosystem moves), ggml is clearly ahead of litellm.

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. litellm shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.

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