Razorpay vs Segment
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Razorpay and Segment both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #32) holds a narrow lead over Segment (rank #103) on the overall Smoower ecosystem score (63 vs 55). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Razorpay is ahead of Segment. On education (docs, guides and learning material for developers), Segment is ahead of Razorpay. On community (issue response, PR reviews and discussion health), Segment is ahead of Razorpay. On reach (how visible the ecosystem is beyond its own repos), Razorpay is ahead of Segment. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Segment.
Razorpay carries 3,812 GitHub stars across 177 public repos, with 38 repositories active in the last 90 days and 33 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 15.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Razorpay is the stronger read for anyone weighting momentum. Segment looks better where education 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 | Razorpay | Segment |
|---|---|---|
| Ranking | ||
| Overall rank | #32 | #103 |
| Pillars | ||
| Overall | 63 | 55 |
| Code | 68 | 57 |
| Education | 53 | 72 |
| Community | 44 | 56 |
| Reach | 58 | 40 |
| Momentum | 71 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 3,812 | 58,406 |
| Forks | 1,929 | 7,570 |
| Public repos | 177 | 421 |
| Active repos (90d) | 38 | 53 |
| External contributors | 33 | 12 |
| Avg polish | 69 | 60 |
| Avg AI-readiness | 49 | 41 |