Machine learning infrastructure for developers
Baseten vs Runway
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baseten (Machine learning infrastructure for developers) and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.
Baseten (rank #237) holds a narrow lead over Runway (rank #317) on the overall Smoower ecosystem score (48 vs 44). 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 Baseten. On education (docs, guides and learning material for developers), Baseten is ahead of Runway. On community (issue response, PR reviews and discussion health), Baseten is clearly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is clearly ahead of Baseten. On momentum (release cadence and how fast the ecosystem moves), Baseten is clearly ahead of Runway.
Baseten carries 1,715 GitHub stars across 113 public repos, with 44 repositories active in the last 90 days and 40 external contributors on record. Runway shows 2,435 stars across 61 public repos, 16 active in the last 90 days and 0 external contributors.
Baseten 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 | Baseten | Runway |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #317 |
| Pillars | ||
| Overall | 48 | 44 |
| Code | 36 | 45 |
| Education | 83 | 65 |
| Community | 45 | 22 |
| Reach | 28 | 49 |
| Momentum | 61 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,715 | 2,435 |
| Forks | 256 | 551 |
| Public repos | 113 | 61 |
| Active repos (90d) | 44 | 16 |
| External contributors | 40 | 0 |
| Avg polish | 42 | 55 |
| Avg AI-readiness | 29 | 23 |