Runway vs sgl-project

Runway (Building AI to Simulate the World) and sgl-project both appear on the Smoower Developer Ecosystem Index.

sgl-project (rank #278) holds a narrow lead over Runway (rank #317) on the overall Smoower ecosystem score (46 vs 44). The gap of 2 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), sgl-project is ahead of Runway. On education (docs, guides and learning material for developers), sgl-project is ahead of Runway. On community (issue response, PR reviews and discussion health), sgl-project is clearly ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is clearly ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), sgl-project is ahead of Runway.

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. sgl-project shows 38,333 stars across 26 public repos, 20 active in the last 90 days and 349 external contributors. The star gap on its own does not decide the comparison, but sgl-project's footprint is roughly 15.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Runway is the stronger read for anyone weighting reach. sgl-project 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.