Pleo vs Starling Bank
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Pleo and Starling Bank both appear on the Smoower Developer Ecosystem Index.
Pleo and Starling Bank 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), Starling Bank is slightly ahead of Pleo. On education (docs, guides and learning material for developers), Pleo is ahead of Starling Bank. On community (issue response, PR reviews and discussion health), Pleo is ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is clearly ahead of Pleo. On momentum (release cadence and how fast the ecosystem moves), Pleo is clearly ahead of Starling Bank.
Pleo carries 36 GitHub stars across 34 public repos, with 5 repositories active in the last 90 days and 8 external contributors on record. Starling Bank shows 195 stars across 3 public repos, 3 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Starling Bank's footprint is roughly 5.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Pleo is the stronger read for anyone weighting momentum. Starling Bank 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 | Pleo | Starling Bank |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 44 | 50 |
| Education | 65 | 55 |
| Community | 20 | 9 |
| Reach | 11 | 63 |
| Momentum | 76 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 36 | 195 |
| Forks | 75 | 29 |
| Public repos | 34 | 3 |
| Active repos (90d) | 5 | 3 |
| External contributors | 8 | 0 |
| Avg polish | 45 | 58 |
| Avg AI-readiness | 26 | 14 |