deepset vs Runway

deepset (Building enterprise search systems powered by latest NLP & open-source.) and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.

deepset (rank #122) holds a modest lead over Runway (rank #317) on the overall Smoower ecosystem score (54 vs 44). The gap of 10 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 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 deepset's footprint is roughly 12.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset 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.