Baseten vs ggml

Baseten (Machine learning infrastructure for developers) and ggml (AI inference at the edge) both appear on the Smoower Developer Ecosystem Index.

ggml (rank #103) holds a narrow lead over Baseten (rank #237) on the overall Smoower ecosystem score (55 vs 48). The gap of 7 points reflects composite signals across code, docs, community and reach.

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

Baseten carries 1,715 GitHub stars across 113 public repos, with 44 repositories active in the last 90 days and 40 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 ggml's footprint is roughly 111.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Baseten 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.