Building AI to Simulate the World
Sendbird provides AI-powered omnichannel communication solutions, including AI agent for customer service, Chat API, and Business Messaging.
Runway vs Sendbird
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Runway (Building AI to Simulate the World) and Sendbird (Sendbird provides AI-powered omnichannel communication solutions, including AI agent for customer service, Chat API, and Business Messaging.) both appear on the Smoower Developer Ecosystem Index.
Sendbird (rank #209) holds a narrow lead over Runway (rank #317) on the overall Smoower ecosystem score (49 vs 44). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Sendbird is slightly ahead of Runway. On community (issue response, PR reviews and discussion health), Sendbird is ahead of Runway. On reach (how visible the ecosystem is beyond its own repos), Runway is clearly ahead of Sendbird. On momentum (release cadence and how fast the ecosystem moves), Sendbird is clearly ahead of Runway.
Runway carries 2,435 GitHub stars across 61 public repos, with 16 repositories active in the last 90 days and 0 external contributors on record. Sendbird shows 2,167 stars across 204 public repos, 69 active in the last 90 days and 13 external contributors.
Runway is the stronger read for anyone weighting reach. Sendbird looks better where momentum 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.
Side-by-side metrics
| Metric | Runway | Sendbird |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #209 |
| Pillars | ||
| Overall | 44 | 49 |
| Code | 45 | 51 |
| Education | 65 | 65 |
| Community | 22 | 37 |
| Reach | 49 | 26 |
| Momentum | 30 | 51 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,435 | 2,167 |
| Forks | 551 | 1,391 |
| Public repos | 61 | 204 |
| Active repos (90d) | 16 | 69 |
| External contributors | 0 | 13 |
| Avg polish | 55 | 55 |
| Avg AI-readiness | 23 | 40 |