Expensify, Inc vs LogRocket
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Expensify, Inc and LogRocket (Record and replay user sessions to fix bugs faster.) both appear on the Smoower Developer Ecosystem Index.
Expensify, Inc (rank #165) holds a modest lead over LogRocket (rank #372) on the overall Smoower ecosystem score (51 vs 42). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Expensify, Inc is ahead of LogRocket. On education (docs, guides and learning material for developers), Expensify, Inc is slightly ahead of LogRocket. On community (issue response, PR reviews and discussion health), Expensify, Inc is clearly ahead of LogRocket. On reach (how visible the ecosystem is beyond its own repos), LogRocket is slightly ahead of Expensify, Inc. On momentum (release cadence and how fast the ecosystem moves), Expensify, Inc is ahead of LogRocket.
Expensify, Inc carries 9,942 GitHub stars across 66 public repos, with 18 repositories active in the last 90 days and 141 external contributors on record. LogRocket shows 6,668 stars across 16 public repos, 5 active in the last 90 days and 2 external contributors.
Expensify, Inc is the stronger read for anyone weighting community. LogRocket 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 | Expensify, Inc | LogRocket |
|---|---|---|
| Ranking | ||
| Overall rank | #165 | #372 |
| Pillars | ||
| Overall | 51 | 42 |
| Code | 57 | 46 |
| Education | 63 | 62 |
| Community | 44 | 23 |
| Reach | 18 | 22 |
| Momentum | 59 | 43 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,942 | 6,668 |
| Forks | 5,111 | 379 |
| Public repos | 66 | 16 |
| Active repos (90d) | 18 | 5 |
| External contributors | 141 | 2 |
| Avg polish | 53 | 42 |
| Avg AI-readiness | 42 | 20 |