Affinity vs UXPin
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Affinity and UXPin (The Full-Stack UX Design Platform) both appear on the Smoower Developer Ecosystem Index.
Affinity (rank #536) holds a narrow lead over UXPin (rank #569) on the overall Smoower ecosystem score (36 vs 35). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Affinity is ahead of UXPin. On education (docs, guides and learning material for developers), UXPin is clearly ahead of Affinity. On community (issue response, PR reviews and discussion health), UXPin is slightly ahead of Affinity. On reach (how visible the ecosystem is beyond its own repos), Affinity is clearly ahead of UXPin. On momentum (release cadence and how fast the ecosystem moves), UXPin is clearly ahead of Affinity.
Affinity carries 4 GitHub stars across 40 public repos, with 1 repositories active in the last 90 days and 2 external contributors on record. UXPin shows 879 stars across 25 public repos, 3 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 219.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Affinity is the stronger read for anyone weighting reach. UXPin 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 | Affinity | UXPin |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #569 |
| Pillars | ||
| Overall | 36 | 35 |
| Code | 41 | 30 |
| Education | 42 | 66 |
| Community | 11 | 13 |
| Reach | 63 | 39 |
| Momentum | 2 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 4 | 879 |
| Forks | 1 | 117 |
| Public repos | 40 | 25 |
| Active repos (90d) | 1 | 3 |
| External contributors | 2 | 0 |
| Avg polish | 26 | 23 |
| Avg AI-readiness | 44 | 21 |