Record and replay user sessions to fix bugs faster.
Swimlane is a Security Automation and Orchestration platform
LogRocket vs Swimlane
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LogRocket (Record and replay user sessions to fix bugs faster.) and Swimlane (Swimlane is a Security Automation and Orchestration platform) both appear on the Smoower Developer Ecosystem Index.
Swimlane (rank #141) holds a modest lead over LogRocket (rank #372) on the overall Smoower ecosystem score (53 vs 42). The gap of 11 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Swimlane is ahead of LogRocket. On community (issue response, PR reviews and discussion health), Swimlane is ahead of LogRocket. On reach (how visible the ecosystem is beyond its own repos), Swimlane is slightly ahead of LogRocket. On momentum (release cadence and how fast the ecosystem moves), LogRocket is ahead of Swimlane.
LogRocket carries 6,668 GitHub stars across 16 public repos, with 5 repositories active in the last 90 days and 2 external contributors on record. Swimlane shows 14,614 stars across 128 public repos, 10 active in the last 90 days and 11 external contributors.
LogRocket is the stronger read for anyone weighting momentum. 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 | LogRocket | Swimlane |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #141 |
| Pillars | ||
| Overall | 42 | 53 |
| Code | 46 | 66 |
| Education | 62 | 62 |
| Community | 23 | 40 |
| Reach | 22 | 25 |
| Momentum | 43 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,668 | 14,614 |
| Forks | 379 | 4,219 |
| Public repos | 16 | 128 |
| Active repos (90d) | 5 | 10 |
| External contributors | 2 | 11 |
| Avg polish | 42 | 65 |
| Avg AI-readiness | 20 | 44 |