Razorpay vs RingCentral, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Razorpay and RingCentral, Inc. both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #32) holds a meaningful lead over RingCentral, Inc. (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 ahead of RingCentral, Inc. . On education (docs, guides and learning material for developers), Razorpay is slightly ahead of RingCentral, Inc. . On community (issue response, PR reviews and discussion health), Razorpay is slightly ahead of RingCentral, Inc. . On reach (how visible the ecosystem is beyond its own repos), Razorpay is clearly ahead of RingCentral, Inc. . On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of RingCentral, Inc. .
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. RingCentral, Inc. shows 1,659 stars across 184 public repos, 31 active in the last 90 days and 17 external contributors.
Razorpay is the stronger read for anyone weighting reach. RingCentral, Inc. makes more sense for teams already using its adjacent tools. 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 | RingCentral, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #32 | #372 |
| Pillars | ||
| Overall | 63 | 42 |
| Code | 68 | 59 |
| Education | 53 | 52 |
| Community | 44 | 42 |
| Reach | 58 | 23 |
| Momentum | 71 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 3,812 | 1,659 |
| Forks | 1,929 | 23,722 |
| Public repos | 177 | 184 |
| Active repos (90d) | 38 | 31 |
| External contributors | 33 | 17 |
| Avg polish | 69 | 57 |
| Avg AI-readiness | 49 | 48 |