Loop public repository
Loop Returns vs Marqeta
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Loop Returns (Loop public repository) and Marqeta both appear on the Smoower Developer Ecosystem Index.
Loop Returns and Marqeta sit at essentially the same overall ecosystem score (33), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Marqeta is slightly ahead of Loop Returns. On education (docs, guides and learning material for developers), Loop Returns is clearly ahead of Marqeta. On community (issue response, PR reviews and discussion health), Marqeta is ahead of Loop Returns. On reach (how visible the ecosystem is beyond its own repos), Marqeta is ahead of Loop Returns. On momentum (release cadence and how fast the ecosystem moves), Marqeta is ahead of Loop Returns.
Loop Returns carries 1 GitHub stars across 2 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Marqeta shows 84 stars across 18 public repos, 3 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Marqeta's footprint is roughly 84.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Loop Returns is the stronger read for anyone weighting education. Marqeta looks better where reach 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 | Loop Returns | Marqeta |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 32 | 39 |
| Education | 80 | 59 |
| Community | 4 | 13 |
| Reach | 21 | 40 |
| Momentum | 0 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1 | 84 |
| Forks | 1 | 42 |
| Public repos | 2 | 18 |
| Active repos (90d) | 0 | 3 |
| External contributors | 0 | 1 |
| Avg polish | 28 | 43 |
| Avg AI-readiness | 38 | 22 |