The Full-Stack UX Design Platform
UXPin vs Zuora
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
UXPin (The Full-Stack UX Design Platform) and Zuora both appear on the Smoower Developer Ecosystem Index.
UXPin and Zuora sit at essentially the same overall ecosystem score (35), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Zuora is slightly ahead of UXPin. On education (docs, guides and learning material for developers), Zuora is slightly ahead of UXPin. On community (issue response, PR reviews and discussion health), Zuora is ahead of UXPin. On reach (how visible the ecosystem is beyond its own repos), UXPin is slightly ahead of Zuora. On momentum (release cadence and how fast the ecosystem moves), UXPin is clearly ahead of Zuora.
UXPin carries 879 GitHub stars across 25 public repos, with 3 repositories active in the last 90 days and 0 external contributors on record. Zuora shows 10 stars across 21 public repos, 1 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but UXPin's footprint is roughly 87.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
UXPin is the stronger read for anyone weighting momentum. Zuora looks better where community 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 | UXPin | Zuora |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #569 |
| Pillars | ||
| Overall | 35 | 35 |
| Code | 30 | 35 |
| Education | 66 | 73 |
| Community | 13 | 33 |
| Reach | 39 | 32 |
| Momentum | 34 | 2 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 879 | 10 |
| Forks | 117 | 38 |
| Public repos | 25 | 21 |
| Active repos (90d) | 3 | 1 |
| External contributors | 0 | 0 |
| Avg polish | 23 | 34 |
| Avg AI-readiness | 21 | 30 |