Cursor vs Runway
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cursor and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.
Runway (rank #317) holds a narrow lead over Cursor (rank #430) on the overall Smoower ecosystem score (44 vs 40). The gap of 4 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 Cursor. On education (docs, guides and learning material for developers), Runway is ahead of Cursor. On community (issue response, PR reviews and discussion health), Cursor is clearly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is slightly ahead of Cursor. On momentum (release cadence and how fast the ecosystem moves), Cursor is slightly ahead of Runway.
Cursor carries 44,397 GitHub stars across 8 public repos, with 5 repositories active in the last 90 days and 41 external contributors on record. Runway shows 2,435 stars across 61 public repos, 16 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Cursor's footprint is roughly 18.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Cursor is the stronger read for anyone weighting community. Runway looks better where code quality 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 | Cursor | Runway |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #317 |
| Pillars | ||
| Overall | 40 | 44 |
| Code | 26 | 45 |
| Education | 46 | 65 |
| Community | 54 | 22 |
| Reach | 43 | 49 |
| Momentum | 34 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,397 | 2,435 |
| Forks | 3,777 | 551 |
| Public repos | 8 | 61 |
| Active repos (90d) | 5 | 16 |
| External contributors | 41 | 0 |
| Avg polish | 31 | 55 |
| Avg AI-readiness | 23 | 23 |