A collection of libraries and plugins for Checkout.com
Checkout.com vs UXPin
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Checkout.com (A collection of libraries and plugins for Checkout.com) and UXPin (The Full-Stack UX Design Platform) both appear on the Smoower Developer Ecosystem Index.
Checkout.com (rank #152) holds a modest lead over UXPin (rank #569) on the overall Smoower ecosystem score (52 vs 35). The gap of 17 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Checkout.com is clearly ahead of UXPin. On education (docs, guides and learning material for developers), UXPin is ahead of Checkout.com. On community (issue response, PR reviews and discussion health), Checkout.com is ahead of UXPin. On reach (how visible the ecosystem is beyond its own repos), Checkout.com is ahead of UXPin. On momentum (release cadence and how fast the ecosystem moves), Checkout.com is clearly ahead of UXPin.
Checkout.com carries 542 GitHub stars across 55 public repos, with 26 repositories active in the last 90 days and 11 external contributors on record. UXPin shows 879 stars across 25 public repos, 3 active in the last 90 days and 0 external contributors.
Checkout.com is the stronger read for anyone weighting code quality. UXPin 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 | Checkout.com | UXPin |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #569 |
| Pillars | ||
| Overall | 52 | 35 |
| Code | 62 | 30 |
| Education | 54 | 66 |
| Community | 33 | 13 |
| Reach | 59 | 39 |
| Momentum | 64 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 542 | 879 |
| Forks | 505 | 117 |
| Public repos | 55 | 25 |
| Active repos (90d) | 26 | 3 |
| External contributors | 11 | 0 |
| Avg polish | 60 | 23 |
| Avg AI-readiness | 46 | 21 |