We harness the world’s data in real time to unlock our customer’s competitive edge.
Meltwater vs Qonto
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Meltwater (We harness the world’s data in real time to unlock our customer’s competitive edge.) and Qonto both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a modest lead over Meltwater (rank #625) on the overall Smoower ecosystem score (43 vs 33). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qonto is slightly ahead of Meltwater. On education (docs, guides and learning material for developers), Qonto is ahead of Meltwater. On community (issue response, PR reviews and discussion health), Qonto is ahead of Meltwater. On reach (how visible the ecosystem is beyond its own repos), Meltwater is ahead of Qonto. On momentum (release cadence and how fast the ecosystem moves), Qonto is slightly ahead of Meltwater.
Meltwater carries 196 GitHub stars across 22 public repos, with 6 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.
Meltwater is the stronger read for anyone weighting reach. Qonto 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 | Meltwater | Qonto |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #338 |
| Pillars | ||
| Overall | 33 | 43 |
| Code | 54 | 57 |
| Education | 63 | 75 |
| Community | 14 | 25 |
| Reach | 41 | 24 |
| Momentum | 13 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 196 | 501 |
| Forks | 85 | 158 |
| Public repos | 22 | 75 |
| Active repos (90d) | 6 | 11 |
| External contributors | 1 | 5 |
| Avg polish | 55 | 62 |
| Avg AI-readiness | 39 | 36 |