Eli-Lilly vs ggml

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

ggml (rank #103) holds a meaningful lead over Eli-Lilly (rank #1095) on the overall Smoower ecosystem score (55 vs 10). The gap of 45 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 Eli-Lilly. On education (docs, guides and learning material for developers), ggml is clearly ahead of Eli-Lilly. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Eli-Lilly. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Eli-Lilly. On momentum (release cadence and how fast the ecosystem moves), ggml is clearly ahead of Eli-Lilly.

Eli-Lilly carries 0 GitHub stars across 0 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. ggml shows 191,415 stars across 22 public repos, 15 active in the last 90 days and 308 external contributors.

Eli-Lilly is worth a look for teams already invested in its stack. ggml looks better where community 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.