LangGenius vs Runway

LangGenius (Dify is an LLMOps platform that helps you build GPT-based applications easily and intuitively.) and Runway (Building AI to Simulate the World) both appear on the Smoower Developer Ecosystem Index.

LangGenius (rank #152) holds a narrow lead over Runway (rank #317) on the overall Smoower ecosystem score (52 vs 44). The gap of 8 points reflects composite signals across code, docs, community and reach.

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

LangGenius carries 153,705 GitHub stars across 39 public repos, with 26 repositories active in the last 90 days and 309 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 LangGenius's footprint is roughly 63.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

LangGenius is the stronger read for anyone weighting community. 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.