Record and replay user sessions to fix bugs faster.
LogRocket vs Skyscanner
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LogRocket (Record and replay user sessions to fix bugs faster.) and Skyscanner both appear on the Smoower Developer Ecosystem Index.
Skyscanner (rank #209) holds a narrow lead over LogRocket (rank #372) on the overall Smoower ecosystem score (49 vs 42). The gap of 7 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Skyscanner is clearly ahead of LogRocket. On education (docs, guides and learning material for developers), Skyscanner is ahead of LogRocket. On community (issue response, PR reviews and discussion health), Skyscanner is ahead of LogRocket. On reach (how visible the ecosystem is beyond its own repos), Skyscanner is ahead of LogRocket. On momentum (release cadence and how fast the ecosystem moves), LogRocket is slightly ahead of Skyscanner.
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. Skyscanner shows 8,167 stars across 86 public repos, 18 active in the last 90 days and 39 external contributors.
LogRocket is the stronger read for anyone weighting momentum. Skyscanner 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 | Skyscanner |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #209 |
| Pillars | ||
| Overall | 42 | 49 |
| Code | 46 | 67 |
| Education | 62 | 72 |
| Community | 23 | 40 |
| Reach | 22 | 32 |
| Momentum | 43 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,668 | 8,167 |
| Forks | 379 | 1,526 |
| Public repos | 16 | 86 |
| Active repos (90d) | 5 | 18 |
| External contributors | 2 | 39 |
| Avg polish | 42 | 74 |
| Avg AI-readiness | 20 | 47 |