Building AI to Simulate the World
Runway vs Sardine
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Runway (Building AI to Simulate the World) and Sardine both appear on the Smoower Developer Ecosystem Index.
Runway (rank #317) holds a modest lead over Sardine (rank #569) on the overall Smoower ecosystem score (44 vs 35). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Runway is ahead of Sardine. On education (docs, guides and learning material for developers), Sardine is slightly ahead of Runway. On community (issue response, PR reviews and discussion health), Sardine is slightly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is slightly ahead of Sardine. On momentum (release cadence and how fast the ecosystem moves), Runway is clearly ahead of Sardine.
Runway carries 2,435 GitHub stars across 61 public repos, with 16 repositories active in the last 90 days and 0 external contributors on record. Sardine shows 19 stars across 55 public repos, 5 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Runway's footprint is roughly 128.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Runway is the stronger read for anyone weighting momentum. Sardine 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.
Side-by-side metrics
| Metric | Runway | Sardine |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #569 |
| Pillars | ||
| Overall | 44 | 35 |
| Code | 45 | 36 |
| Education | 65 | 66 |
| Community | 22 | 25 |
| Reach | 49 | 44 |
| Momentum | 30 | 9 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,435 | 19 |
| Forks | 551 | 8 |
| Public repos | 61 | 55 |
| Active repos (90d) | 16 | 5 |
| External contributors | 0 | 5 |
| Avg polish | 55 | 34 |
| Avg AI-readiness | 23 | 31 |