AstraZeneca vs ggml

AstraZeneca (Data and AI: Unlocking new science insights) and ggml (AI inference at the edge) both appear on the Smoower Developer Ecosystem Index.

ggml (rank #103) holds a modest lead over AstraZeneca (rank #510) on the overall Smoower ecosystem score (55 vs 37). The gap of 18 points reflects composite signals across code, docs, community and reach.

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

AstraZeneca carries 5,180 GitHub stars across 107 public repos, with 22 repositories active in the last 90 days and 2 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 37.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

AstraZeneca is the stronger read for anyone weighting code quality. 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.