Sage vs Starling Bank
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Sage and Starling Bank both appear on the Smoower Developer Ecosystem Index.
Sage 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), Sage is slightly ahead of Starling Bank. On education (docs, guides and learning material for developers), Starling Bank is slightly ahead of Sage. On community (issue response, PR reviews and discussion health), Sage is clearly ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is clearly ahead of Sage. On momentum (release cadence and how fast the ecosystem moves), Starling Bank is clearly ahead of Sage.
Sage carries 2,183 GitHub stars across 122 public repos, with 6 repositories active in the last 90 days and 22 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 Sage's footprint is roughly 11.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Sage is the stronger read for anyone weighting community. 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 | Sage | Starling Bank |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 56 | 50 |
| Education | 52 | 55 |
| Community | 34 | 9 |
| Reach | 23 | 63 |
| Momentum | 12 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,183 | 195 |
| Forks | 429 | 29 |
| Public repos | 122 | 3 |
| Active repos (90d) | 6 | 3 |
| External contributors | 22 | 0 |
| Avg polish | 52 | 58 |
| Avg AI-readiness | 38 | 14 |