OpenAI vs Runway
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
OpenAI and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.
OpenAI (rank #55) holds a modest lead over Runway (rank #317) on the overall Smoower ecosystem score (60 vs 44). The gap of 16 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), OpenAI is ahead of Runway. On education (docs, guides and learning material for developers), OpenAI is slightly ahead of Runway. On community (issue response, PR reviews and discussion health), OpenAI is clearly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), OpenAI is slightly ahead of Runway. On momentum (release cadence and how fast the ecosystem moves), OpenAI is clearly ahead of Runway.
OpenAI carries 824,906 GitHub stars across 263 public repos, with 48 repositories active in the last 90 days and 524 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 OpenAI's footprint is roughly 338.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
OpenAI is the stronger read for anyone weighting community. Runway makes more sense for teams already using its adjacent tools. 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 | OpenAI | Runway |
|---|---|---|
| Ranking | ||
| Overall rank | #55 | #317 |
| Pillars | ||
| Overall | 60 | 44 |
| Code | 58 | 45 |
| Education | 69 | 65 |
| Community | 78 | 22 |
| Reach | 53 | 49 |
| Momentum | 74 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 824,906 | 2,435 |
| Forks | 134,688 | 551 |
| Public repos | 263 | 61 |
| Active repos (90d) | 48 | 16 |
| External contributors | 524 | 0 |
| Avg polish | 60 | 55 |
| Avg AI-readiness | 46 | 23 |