Agorapulse vs Marqeta
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Agorapulse and Marqeta both appear on the Smoower Developer Ecosystem Index.
Agorapulse 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), Agorapulse is slightly ahead of Marqeta. On education (docs, guides and learning material for developers), Marqeta is clearly ahead of Agorapulse. On community (issue response, PR reviews and discussion health), Agorapulse is ahead of Marqeta. On reach (how visible the ecosystem is beyond its own repos), Agorapulse is slightly ahead of Marqeta. On momentum (release cadence and how fast the ecosystem moves), Agorapulse is ahead of Marqeta.
Agorapulse carries 307 GitHub stars across 80 public repos, with 17 repositories active in the last 90 days and 2 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 Agorapulse's footprint is roughly 3.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Agorapulse is the stronger read for anyone weighting momentum. Marqeta 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 | Agorapulse | Marqeta |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 40 | 39 |
| Education | 25 | 59 |
| Community | 25 | 13 |
| Reach | 44 | 40 |
| Momentum | 31 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 307 | 84 |
| Forks | 154 | 42 |
| Public repos | 80 | 18 |
| Active repos (90d) | 17 | 3 |
| External contributors | 2 | 1 |
| Avg polish | 38 | 43 |
| Avg AI-readiness | 33 | 22 |