Marqeta vs Onfido
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Marqeta and Onfido both appear on the Smoower Developer Ecosystem Index.
Onfido (rank #401) holds a modest lead over Marqeta (rank #662) on the overall Smoower ecosystem score (41 vs 32). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Onfido is slightly ahead of Marqeta. On education (docs, guides and learning material for developers), Onfido is ahead of Marqeta. On community (issue response, PR reviews and discussion health), Onfido is ahead of Marqeta. On reach (how visible the ecosystem is beyond its own repos), Marqeta is slightly ahead of Onfido. On momentum (release cadence and how fast the ecosystem moves), Onfido is ahead of Marqeta.
Marqeta carries 84 GitHub stars across 18 public repos, with 3 repositories active in the last 90 days and 1 external contributors on record. Onfido shows 1,268 stars across 85 public repos, 14 active in the last 90 days and 3 external contributors. The star gap on its own does not decide the comparison, but Onfido's footprint is roughly 15.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Marqeta is the stronger read for anyone weighting reach. Onfido 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 | Marqeta | Onfido |
|---|---|---|
| Ranking | ||
| Overall rank | #662 | #401 |
| Pillars | ||
| Overall | 32 | 41 |
| Code | 39 | 42 |
| Education | 59 | 71 |
| Community | 12 | 23 |
| Reach | 40 | 35 |
| Momentum | 15 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 84 | 1,268 |
| Forks | 42 | 777 |
| Public repos | 18 | 85 |
| Active repos (90d) | 3 | 14 |
| External contributors | 1 | 3 |
| Avg polish | 43 | 48 |
| Avg AI-readiness | 22 | 31 |