A collection of libraries and plugins for Checkout.com
Checkout.com vs Qonto
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Checkout.com (A collection of libraries and plugins for Checkout.com) and Qonto both appear on the Smoower Developer Ecosystem Index.
Checkout.com (rank #152) holds a modest lead over Qonto (rank #338) on the overall Smoower ecosystem score (52 vs 43). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Checkout.com is slightly ahead of Qonto. On education (docs, guides and learning material for developers), Qonto is clearly ahead of Checkout.com. On community (issue response, PR reviews and discussion health), Checkout.com is slightly ahead of Qonto. On reach (how visible the ecosystem is beyond its own repos), Checkout.com is clearly ahead of Qonto. On momentum (release cadence and how fast the ecosystem moves), Checkout.com is clearly ahead of Qonto.
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. Qonto shows 501 stars across 75 public repos, 11 active in the last 90 days and 5 external contributors.
Checkout.com is the stronger read for anyone weighting momentum. Qonto 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 | Qonto |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #338 |
| Pillars | ||
| Overall | 52 | 43 |
| Code | 62 | 57 |
| Education | 54 | 75 |
| Community | 33 | 25 |
| Reach | 59 | 24 |
| Momentum | 64 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 542 | 501 |
| Forks | 505 | 158 |
| Public repos | 55 | 75 |
| Active repos (90d) | 26 | 11 |
| External contributors | 11 | 5 |
| Avg polish | 60 | 62 |
| Avg AI-readiness | 46 | 36 |