LlamaIndex vs Runway

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

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

LlamaIndex carries 99,809 GitHub stars across 135 public repos, with 48 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 LlamaIndex's footprint is roughly 41.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

LlamaIndex 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.