Expensify, Inc vs Segment
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Expensify, Inc and Segment both appear on the Smoower Developer Ecosystem Index.
Segment (rank #103) holds a narrow lead over Expensify, Inc (rank #165) on the overall Smoower ecosystem score (55 vs 51). The gap of 4 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Segment is ahead of Expensify, Inc. On community (issue response, PR reviews and discussion health), Segment is ahead of Expensify, Inc. On reach (how visible the ecosystem is beyond its own repos), Segment is clearly ahead of Expensify, Inc. On momentum (release cadence and how fast the ecosystem moves), Expensify, Inc is ahead of Segment.
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. Segment shows 58,406 stars across 421 public repos, 53 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Segment's footprint is roughly 5.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Expensify, Inc is the stronger read for anyone weighting momentum. Segment 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 | Segment |
|---|---|---|
| Ranking | ||
| Overall rank | #165 | #103 |
| Pillars | ||
| Overall | 51 | 55 |
| Code | 57 | 57 |
| Education | 63 | 72 |
| Community | 44 | 56 |
| Reach | 18 | 40 |
| Momentum | 59 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,942 | 58,406 |
| Forks | 5,111 | 7,570 |
| Public repos | 66 | 421 |
| Active repos (90d) | 18 | 53 |
| External contributors | 141 | 12 |
| Avg polish | 53 | 60 |
| Avg AI-readiness | 42 | 41 |