Genial.ly vs Qonto
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Genial.ly and Qonto both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a narrow lead over Genial.ly (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 ahead of Genial.ly. On education (docs, guides and learning material for developers), Qonto is slightly ahead of Genial.ly. On community (issue response, PR reviews and discussion health), Qonto is slightly ahead of Genial.ly. On reach (how visible the ecosystem is beyond its own repos), Qonto is slightly ahead of Genial.ly. On momentum (release cadence and how fast the ecosystem moves), Qonto is slightly ahead of Genial.ly.
Genial.ly carries 71 GitHub stars across 13 public repos, with 1 repositories active in the last 90 days and 1 external contributors on record. Qonto shows 501 stars across 75 public repos, 11 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Qonto's footprint is roughly 7.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Genial.ly is worth a look for teams already invested in its stack. Qonto looks better where code quality 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 | Genial.ly | Qonto |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #338 |
| Pillars | ||
| Overall | 35 | 43 |
| Code | 40 | 57 |
| Education | 72 | 75 |
| Community | 20 | 25 |
| Reach | 17 | 24 |
| Momentum | 18 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 71 | 501 |
| Forks | 53 | 158 |
| Public repos | 13 | 75 |
| Active repos (90d) | 1 | 11 |
| External contributors | 1 | 5 |
| Avg polish | 33 | 62 |
| Avg AI-readiness | 30 | 36 |