Machine learning infrastructure for developers
Baseten vs Eli-Lilly
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baseten (Machine learning infrastructure for developers) and Eli-Lilly both appear on the Smoower Developer Ecosystem Index.
Baseten (rank #237) holds a meaningful lead over Eli-Lilly (rank #1095) on the overall Smoower ecosystem score (48 vs 10). The gap of 38 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Baseten is clearly ahead of Eli-Lilly. On education (docs, guides and learning material for developers), Baseten is clearly ahead of Eli-Lilly. On community (issue response, PR reviews and discussion health), Baseten is clearly ahead of Eli-Lilly. On reach (how visible the ecosystem is beyond its own repos), Eli-Lilly is ahead of Baseten. On momentum (release cadence and how fast the ecosystem moves), Baseten is clearly ahead of Eli-Lilly.
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. Eli-Lilly shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.
Baseten is the stronger read for anyone weighting education. Eli-Lilly 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.
Side-by-side metrics
| Metric | Baseten | Eli-Lilly |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #1095 |
| Pillars | ||
| Overall | 48 | 10 |
| Code | 36 | 0 |
| Education | 83 | 10 |
| Community | 45 | 0 |
| Reach | 28 | 44 |
| Momentum | 61 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,715 | 0 |
| Forks | 256 | 0 |
| Public repos | 113 | 0 |
| Active repos (90d) | 44 | 0 |
| External contributors | 40 | 0 |
| Avg polish | 42 | 0 |
| Avg AI-readiness | 29 | 0 |