Gainsight vs Mollie
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Gainsight and Mollie (Building a payments and banking stack for makers.) both appear on the Smoower Developer Ecosystem Index.
Mollie (rank #122) holds a modest lead over Gainsight (rank #536) on the overall Smoower ecosystem score (54 vs 36). The gap of 18 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 Gainsight. On education (docs, guides and learning material for developers), Mollie is clearly ahead of Gainsight. On reach (how visible the ecosystem is beyond its own repos), Gainsight is slightly ahead of Mollie. On momentum (release cadence and how fast the ecosystem moves), Gainsight is ahead of Mollie.
Gainsight carries 5 GitHub stars across 6 public repos, with 3 repositories active in the last 90 days and 3 external contributors on record. Mollie shows 2,571 stars across 85 public repos, 30 active in the last 90 days and 26 external contributors. The star gap on its own does not decide the comparison, but Mollie's footprint is roughly 514.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Gainsight is the stronger read for anyone weighting momentum. Mollie 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 | Gainsight | Mollie |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #122 |
| Pillars | ||
| Overall | 36 | 54 |
| Code | 25 | 69 |
| Education | 42 | 85 |
| Community | 41 | 41 |
| Reach | 28 | 21 |
| Momentum | 52 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5 | 2,571 |
| Forks | 10 | 1,124 |
| Public repos | 6 | 85 |
| Active repos (90d) | 3 | 30 |
| External contributors | 3 | 26 |
| Avg polish | 28 | 63 |
| Avg AI-readiness | 20 | 50 |