Razorpay vs Swiggy
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Razorpay and Swiggy (Swiggy Public Repos) both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #30) holds a meaningful lead over Swiggy (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 Swiggy. On education (docs, guides and learning material for developers), Swiggy is slightly ahead of Razorpay. On community (issue response, PR reviews and discussion health), Razorpay is ahead of Swiggy. On reach (how visible the ecosystem is beyond its own repos), Razorpay is clearly ahead of Swiggy. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Swiggy.
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. Swiggy shows 314 stars across 22 public repos, 3 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Razorpay's footprint is roughly 12.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Razorpay is the stronger read for anyone weighting reach. Swiggy 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 | Swiggy |
|---|---|---|
| Ranking | ||
| Overall rank | #30 | #662 |
| Pillars | ||
| Overall | 63 | 32 |
| Code | 68 | 36 |
| Education | 53 | 55 |
| Community | 44 | 30 |
| Reach | 58 | 18 |
| Momentum | 71 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 3,812 | 314 |
| Forks | 1,929 | 93 |
| Public repos | 177 | 22 |
| Active repos (90d) | 38 | 3 |
| External contributors | 33 | 1 |
| Avg polish | 69 | 37 |
| Avg AI-readiness | 49 | 32 |