Data and AI: Unlocking new science insights
AstraZeneca vs Runway
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AstraZeneca (Data and AI: Unlocking new science insights) and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.
Runway (rank #317) holds a narrow lead over AstraZeneca (rank #510) on the overall Smoower ecosystem score (44 vs 37). The gap of 7 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 Runway. On education (docs, guides and learning material for developers), AstraZeneca is ahead of Runway. On community (issue response, PR reviews and discussion health), AstraZeneca is slightly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is clearly ahead of AstraZeneca. On momentum (release cadence and how fast the ecosystem moves), AstraZeneca is slightly ahead of Runway.
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. Runway shows 2,435 stars across 61 public repos, 16 active in the last 90 days and 0 external contributors.
AstraZeneca is the stronger read for anyone weighting code quality. Runway 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 | Runway |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #317 |
| Pillars | ||
| Overall | 37 | 44 |
| Code | 57 | 45 |
| Education | 75 | 65 |
| Community | 25 | 22 |
| Reach | 22 | 49 |
| Momentum | 34 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,180 | 2,435 |
| Forks | 605 | 551 |
| Public repos | 107 | 61 |
| Active repos (90d) | 22 | 16 |
| External contributors | 2 | 0 |
| Avg polish | 65 | 55 |
| Avg AI-readiness | 34 | 23 |