Data and AI: Unlocking new science insights
AstraZeneca vs Eli-Lilly
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AstraZeneca (Data and AI: Unlocking new science insights) and Eli-Lilly both appear on the Smoower Developer Ecosystem Index.
AstraZeneca (rank #510) holds a meaningful lead over Eli-Lilly (rank #1095) on the overall Smoower ecosystem score (37 vs 10). The gap of 27 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), AstraZeneca is clearly ahead of Eli-Lilly. On education (docs, guides and learning material for developers), AstraZeneca is clearly ahead of Eli-Lilly. On community (issue response, PR reviews and discussion health), AstraZeneca is clearly ahead of Eli-Lilly. On reach (how visible the ecosystem is beyond its own repos), Eli-Lilly is clearly ahead of AstraZeneca. On momentum (release cadence and how fast the ecosystem moves), AstraZeneca is clearly ahead of Eli-Lilly.
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. Eli-Lilly shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.
AstraZeneca 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 | AstraZeneca | Eli-Lilly |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #1095 |
| Pillars | ||
| Overall | 37 | 10 |
| Code | 57 | 0 |
| Education | 75 | 10 |
| Community | 25 | 0 |
| Reach | 22 | 44 |
| Momentum | 34 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,180 | 0 |
| Forks | 605 | 0 |
| Public repos | 107 | 0 |
| Active repos (90d) | 22 | 0 |
| External contributors | 2 | 0 |
| Avg polish | 65 | 0 |
| Avg AI-readiness | 34 | 0 |