Ollama vs Runway

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

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

Ollama carries 190,304 GitHub stars across 4 public repos, with 3 repositories active in the last 90 days and 241 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 Ollama's footprint is roughly 78.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Ollama is the stronger read for anyone weighting momentum. 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.