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Razorpay vs Teamwork.com
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Razorpay and Teamwork.com (World-class products that work together to streamline your business. We're hiring!) both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #30) holds a modest lead over Teamwork.com (rank #237) on the overall Smoower ecosystem score (63 vs 48). The gap of 15 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 Teamwork.com. On education (docs, guides and learning material for developers), Teamwork.com is slightly ahead of Razorpay. On community (issue response, PR reviews and discussion health), Razorpay is slightly ahead of Teamwork.com. On reach (how visible the ecosystem is beyond its own repos), Razorpay is ahead of Teamwork.com. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Teamwork.com.
Razorpay carries 3,811 GitHub stars across 177 public repos, with 38 repositories active in the last 90 days and 32 external contributors on record. Teamwork.com shows 2,108 stars across 123 public repos, 14 active in the last 90 days and 13 external contributors.
Razorpay is the stronger read for anyone weighting momentum. Teamwork.com 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 | Teamwork.com |
|---|---|---|
| Ranking | ||
| Overall rank | #30 | #237 |
| Pillars | ||
| Overall | 63 | 48 |
| Code | 68 | 58 |
| Education | 53 | 59 |
| Community | 44 | 37 |
| Reach | 58 | 47 |
| Momentum | 71 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 3,811 | 2,108 |
| Forks | 1,932 | 384 |
| Public repos | 177 | 123 |
| Active repos (90d) | 38 | 14 |
| External contributors | 32 | 13 |
| Avg polish | 69 | 62 |
| Avg AI-readiness | 49 | 38 |