Record and replay user sessions to fix bugs faster.
LogRocket vs Razorpay
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LogRocket (Record and replay user sessions to fix bugs faster.) and Razorpay both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #30) holds a meaningful lead over LogRocket (rank #372) on the overall Smoower ecosystem score (63 vs 42). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Razorpay is clearly ahead of LogRocket. On education (docs, guides and learning material for developers), LogRocket is ahead of Razorpay. On community (issue response, PR reviews and discussion health), Razorpay is clearly ahead of LogRocket. On reach (how visible the ecosystem is beyond its own repos), Razorpay is clearly ahead of LogRocket. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of LogRocket.
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. Razorpay shows 3,811 stars across 177 public repos, 38 active in the last 90 days and 32 external contributors.
LogRocket is the stronger read for anyone weighting education. Razorpay looks better where reach 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 | Razorpay |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #30 |
| Pillars | ||
| Overall | 42 | 63 |
| Code | 46 | 68 |
| Education | 62 | 53 |
| Community | 23 | 44 |
| Reach | 22 | 58 |
| Momentum | 43 | 71 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,668 | 3,811 |
| Forks | 379 | 1,932 |
| Public repos | 16 | 177 |
| Active repos (90d) | 5 | 38 |
| External contributors | 2 | 32 |
| Avg polish | 42 | 69 |
| Avg AI-readiness | 20 | 49 |