Moodle Development vs Razorpay
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Moodle Development and Razorpay both appear on the Smoower Developer Ecosystem Index.
Razorpay (rank #31) holds a meaningful lead over Moodle Development (rank #602) on the overall Smoower ecosystem score (63 vs 34). The gap of 29 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 Moodle Development. On education (docs, guides and learning material for developers), Razorpay is slightly ahead of Moodle Development. On community (issue response, PR reviews and discussion health), Razorpay is slightly ahead of Moodle Development. On reach (how visible the ecosystem is beyond its own repos), Razorpay is clearly ahead of Moodle Development. On momentum (release cadence and how fast the ecosystem moves), Razorpay is clearly ahead of Moodle Development.
Moodle Development carries 7,353 GitHub stars across 15 public repos, with 4 repositories active in the last 90 days and 25 external contributors on record. Razorpay shows 3,812 stars across 177 public repos, 38 active in the last 90 days and 33 external contributors.
Moodle Development is worth a look for teams already invested in its stack. 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 | Moodle Development | Razorpay |
|---|---|---|
| Ranking | ||
| Overall rank | #602 | #31 |
| Pillars | ||
| Overall | 34 | 63 |
| Code | 43 | 68 |
| Education | 45 | 53 |
| Community | 39 | 44 |
| Reach | 26 | 58 |
| Momentum | 13 | 71 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 7,353 | 3,812 |
| Forks | 8,234 | 1,929 |
| Public repos | 15 | 177 |
| Active repos (90d) | 4 | 38 |
| External contributors | 25 | 33 |
| Avg polish | 42 | 69 |
| Avg AI-readiness | 25 | 49 |