Paddle vs Razorpay
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Paddle and Razorpay both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #30) holds a meaningful lead over Paddle (rank #372) on the overall Smoower ecosystem score (63 vs 42). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Razorpay is slightly ahead of Paddle. On education (docs, guides and learning material for developers), Paddle is slightly ahead of Razorpay. On community (issue response, PR reviews and discussion health), Razorpay is slightly ahead of Paddle. On reach (how visible the ecosystem is beyond its own repos), Razorpay is clearly ahead of Paddle. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Paddle.
Paddle carries 997 GitHub stars across 54 public repos, with 22 repositories active in the last 90 days and 6 external contributors on record. Razorpay shows 3,811 stars across 177 public repos, 38 active in the last 90 days and 32 external contributors. The star gap on its own does not decide the comparison, but Razorpay's footprint is roughly 3.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Paddle 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 | Paddle | Razorpay |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #30 |
| Pillars | ||
| Overall | 42 | 63 |
| Code | 61 | 68 |
| Education | 57 | 53 |
| Community | 41 | 44 |
| Reach | 23 | 58 |
| Momentum | 34 | 71 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 997 | 3,811 |
| Forks | 650 | 1,932 |
| Public repos | 54 | 177 |
| Active repos (90d) | 22 | 38 |
| External contributors | 6 | 32 |
| Avg polish | 63 | 69 |
| Avg AI-readiness | 40 | 49 |