Building a payments and banking stack for makers.
Mollie vs Userlike
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Mollie (Building a payments and banking stack for makers.) and Userlike both appear on the Smoower Developer Ecosystem Index.
Mollie (rank #122) holds a modest lead over Userlike (rank #569) on the overall Smoower ecosystem score (54 vs 35). The gap of 19 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Mollie is clearly ahead of Userlike. On community (issue response, PR reviews and discussion health), Mollie is clearly ahead of Userlike. On reach (how visible the ecosystem is beyond its own repos), Mollie is slightly ahead of Userlike. On momentum (release cadence and how fast the ecosystem moves), Mollie is clearly ahead of Userlike.
Mollie carries 2,571 GitHub stars across 85 public repos, with 30 repositories active in the last 90 days and 26 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 Mollie's footprint is roughly 67.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Mollie is the stronger read for anyone weighting community. Userlike makes more sense for teams already using its adjacent tools. 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 | Mollie | Userlike |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #569 |
| Pillars | ||
| Overall | 54 | 35 |
| Code | 69 | 43 |
| Education | 85 | 85 |
| Community | 41 | 12 |
| Reach | 21 | 20 |
| Momentum | 39 | 12 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,571 | 38 |
| Forks | 1,124 | 5 |
| Public repos | 85 | 14 |
| Active repos (90d) | 30 | 3 |
| External contributors | 26 | 3 |
| Avg polish | 63 | 36 |
| Avg AI-readiness | 50 | 35 |