Entire vs ggml

Entire (Entire is a new developer platform that hooks into your git workflow to capture AI agent sessions on every push, unifying your code with its context.) and ggml (AI inference at the edge) both appear on the Smoower Developer Ecosystem Index.

Entire and ggml sit at essentially the same overall ecosystem score (55), which is unusual and worth reading through the pillars below.

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

Entire carries 5,422 GitHub stars across 26 public repos, with 23 repositories active in the last 90 days and 48 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 35.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Entire 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.