Record and replay user sessions to fix bugs faster.
LogRocket vs Stripe Samples
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LogRocket (Record and replay user sessions to fix bugs faster.) and Stripe Samples (Sample integrations built by Stripe.) both appear on the Smoower Developer Ecosystem Index.
Stripe Samples (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), Stripe Samples is ahead of LogRocket. On education (docs, guides and learning material for developers), Stripe Samples is clearly ahead of LogRocket. On community (issue response, PR reviews and discussion health), Stripe Samples is clearly ahead of LogRocket. On reach (how visible the ecosystem is beyond its own repos), LogRocket is ahead of Stripe Samples. On momentum (release cadence and how fast the ecosystem moves), Stripe Samples is 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. Stripe Samples shows 4,227 stars across 30 public repos, 23 active in the last 90 days and 8 external contributors.
LogRocket is the stronger read for anyone weighting reach. Stripe Samples looks better where community 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 | Stripe Samples |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #141 |
| Pillars | ||
| Overall | 42 | 53 |
| Code | 46 | 66 |
| Education | 62 | 85 |
| Community | 23 | 47 |
| Reach | 22 | 8 |
| Momentum | 43 | 52 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,668 | 4,227 |
| Forks | 379 | 2,301 |
| Public repos | 16 | 30 |
| Active repos (90d) | 5 | 23 |
| External contributors | 2 | 8 |
| Avg polish | 42 | 76 |
| Avg AI-readiness | 20 | 34 |