Marqeta vs Razorpay
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Marqeta and Razorpay both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #30) holds a meaningful lead over Marqeta (rank #662) on the overall Smoower ecosystem score (63 vs 32). The gap of 31 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 Marqeta. On education (docs, guides and learning material for developers), Marqeta is slightly ahead of Razorpay. On community (issue response, PR reviews and discussion health), Razorpay is clearly ahead of Marqeta. On reach (how visible the ecosystem is beyond its own repos), Razorpay is ahead of Marqeta. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Marqeta.
Marqeta carries 84 GitHub stars across 18 public repos, with 3 repositories active in the last 90 days and 1 external contributors on record. Razorpay shows 3,812 stars across 177 public repos, 38 active in the last 90 days and 33 external contributors. The star gap on its own does not decide the comparison, but Razorpay's footprint is roughly 45.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Marqeta is the stronger read for anyone weighting education. Razorpay looks better where momentum 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 | Marqeta | Razorpay |
|---|---|---|
| Ranking | ||
| Overall rank | #662 | #30 |
| Pillars | ||
| Overall | 32 | 63 |
| Code | 39 | 68 |
| Education | 59 | 53 |
| Community | 12 | 44 |
| Reach | 40 | 58 |
| Momentum | 15 | 71 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 84 | 3,812 |
| Forks | 42 | 1,929 |
| Public repos | 18 | 177 |
| Active repos (90d) | 3 | 38 |
| External contributors | 1 | 33 |
| Avg polish | 43 | 69 |
| Avg AI-readiness | 22 | 49 |