Qonto vs Zuora
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Qonto and Zuora both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a narrow lead over Zuora (rank #569) on the overall Smoower ecosystem score (43 vs 35). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qonto is clearly ahead of Zuora. On education (docs, guides and learning material for developers), Qonto is slightly ahead of Zuora. On community (issue response, PR reviews and discussion health), Zuora is slightly ahead of Qonto. On reach (how visible the ecosystem is beyond its own repos), Zuora is slightly ahead of Qonto. On momentum (release cadence and how fast the ecosystem moves), Qonto is ahead of Zuora.
Qonto carries 501 GitHub stars across 75 public repos, with 11 repositories active in the last 90 days and 5 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 Qonto's footprint is roughly 50.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Qonto is the stronger read for anyone weighting code quality. 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 | Qonto | Zuora |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #569 |
| Pillars | ||
| Overall | 43 | 35 |
| Code | 57 | 35 |
| Education | 75 | 73 |
| Community | 25 | 33 |
| Reach | 24 | 32 |
| Momentum | 21 | 2 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 501 | 10 |
| Forks | 158 | 38 |
| Public repos | 75 | 21 |
| Active repos (90d) | 11 | 1 |
| External contributors | 5 | 0 |
| Avg polish | 62 | 34 |
| Avg AI-readiness | 36 | 30 |