Qonto vs Userlike
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Qonto and Userlike both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a narrow lead over Userlike (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 Userlike. On education (docs, guides and learning material for developers), Userlike is ahead of Qonto. On community (issue response, PR reviews and discussion health), Qonto is ahead of Userlike. On reach (how visible the ecosystem is beyond its own repos), Qonto is slightly ahead of Userlike. On momentum (release cadence and how fast the ecosystem moves), Qonto is ahead of Userlike.
Qonto carries 501 GitHub stars across 75 public repos, with 11 repositories active in the last 90 days and 5 external contributors on record. Userlike shows 38 stars across 14 public repos, 3 active in the last 90 days and 3 external contributors. The star gap on its own does not decide the comparison, but Qonto's footprint is roughly 13.2x 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. Userlike 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 | Qonto | Userlike |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #569 |
| Pillars | ||
| Overall | 43 | 35 |
| Code | 57 | 43 |
| Education | 75 | 85 |
| Community | 25 | 12 |
| Reach | 24 | 20 |
| Momentum | 21 | 12 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 501 | 38 |
| Forks | 158 | 5 |
| Public repos | 75 | 14 |
| Active repos (90d) | 11 | 3 |
| External contributors | 5 | 3 |
| Avg polish | 62 | 36 |
| Avg AI-readiness | 36 | 35 |