Deepgram vs Runway

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

Deepgram (rank #63) holds a modest lead over Runway (rank #317) on the overall Smoower ecosystem score (59 vs 44). The gap of 15 points reflects composite signals across code, docs, community and reach.

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

Deepgram carries 2,538 GitHub stars across 115 public repos, with 47 repositories active in the last 90 days and 30 external contributors on record. Runway shows 2,435 stars across 61 public repos, 16 active in the last 90 days and 0 external contributors.

Deepgram is the stronger read for anyone weighting reach. Runway looks better where education 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.