PolyAI vs Runway
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
PolyAI and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.
Runway (rank #317) holds a narrow lead over PolyAI (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), PolyAI is slightly ahead of Runway. On education (docs, guides and learning material for developers), PolyAI is slightly ahead of Runway. On community (issue response, PR reviews and discussion health), PolyAI is ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is clearly ahead of PolyAI. On momentum (release cadence and how fast the ecosystem moves), PolyAI is clearly ahead of Runway.
PolyAI carries 86 GitHub stars across 6 public repos, with 6 repositories active in the last 90 days and 19 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 Runway's footprint is roughly 28.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
PolyAI is the stronger read for anyone weighting momentum. 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 | PolyAI | Runway |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #317 |
| Pillars | ||
| Overall | 40 | 44 |
| Code | 47 | 45 |
| Education | 71 | 65 |
| Community | 38 | 22 |
| Reach | 16 | 49 |
| Momentum | 60 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 86 | 2,435 |
| Forks | 15 | 551 |
| Public repos | 6 | 61 |
| Active repos (90d) | 6 | 16 |
| External contributors | 19 | 0 |
| Avg polish | 46 | 55 |
| Avg AI-readiness | 53 | 23 |