Powering prosperity around the world.
Swimlane is a Security Automation and Orchestration platform
Intuit vs Swimlane
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Intuit (Powering prosperity around the world.) and Swimlane (Swimlane is a Security Automation and Orchestration platform) both appear on the Smoower Developer Ecosystem Index.
Swimlane (rank #141) holds a narrow lead over Intuit (rank #237) on the overall Smoower ecosystem score (53 vs 48). 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), Swimlane is slightly ahead of Intuit. On education (docs, guides and learning material for developers), Intuit is ahead of Swimlane. On community (issue response, PR reviews and discussion health), Intuit is slightly ahead of Swimlane. On reach (how visible the ecosystem is beyond its own repos), Swimlane is slightly ahead of Intuit. On momentum (release cadence and how fast the ecosystem moves), Intuit is slightly ahead of Swimlane.
Intuit carries 18,182 GitHub stars across 150 public repos, with 27 repositories active in the last 90 days and 40 external contributors on record. Swimlane shows 14,614 stars across 128 public repos, 10 active in the last 90 days and 11 external contributors.
Intuit is the stronger read for anyone weighting education. Swimlane looks better where code quality 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 | Intuit | Swimlane |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #141 |
| Pillars | ||
| Overall | 48 | 53 |
| Code | 65 | 66 |
| Education | 76 | 62 |
| Community | 48 | 40 |
| Reach | 24 | 25 |
| Momentum | 37 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 18,182 | 14,614 |
| Forks | 4,233 | 4,219 |
| Public repos | 150 | 128 |
| Active repos (90d) | 27 | 10 |
| External contributors | 40 | 11 |
| Avg polish | 70 | 65 |
| Avg AI-readiness | 40 | 44 |