Building a payments and banking stack for makers.
Mollie vs Yext
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Mollie (Building a payments and banking stack for makers.) and Yext both appear on the Smoower Developer Ecosystem Index.
Mollie (rank #122) holds a modest lead over Yext (rank #510) on the overall Smoower ecosystem score (54 vs 37). The gap of 17 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Mollie is ahead of Yext. On education (docs, guides and learning material for developers), Mollie is clearly ahead of Yext. On community (issue response, PR reviews and discussion health), Mollie is ahead of Yext. On momentum (release cadence and how fast the ecosystem moves), Mollie is ahead of Yext.
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. Yext shows 296 stars across 171 public repos, 12 active in the last 90 days and 9 external contributors. The star gap on its own does not decide the comparison, but Mollie's footprint is roughly 8.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Mollie is the stronger read for anyone weighting education. Yext 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 | Yext |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #510 |
| Pillars | ||
| Overall | 54 | 37 |
| Code | 69 | 54 |
| Education | 85 | 48 |
| Community | 41 | 25 |
| Reach | 21 | 21 |
| Momentum | 39 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,571 | 296 |
| Forks | 1,124 | 117 |
| Public repos | 85 | 171 |
| Active repos (90d) | 30 | 12 |
| External contributors | 26 | 9 |
| Avg polish | 63 | 43 |
| Avg AI-readiness | 50 | 46 |