Starling Bank vs Perk
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Starling Bank and Perk (We're fixing business travel.) both appear on the Smoower Developer Ecosystem Index.
Perk (rank #372) holds a modest lead over Starling Bank (rank #625) on the overall Smoower ecosystem score (42 vs 33). 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), Starling Bank is slightly ahead of Perk. On education (docs, guides and learning material for developers), Starling Bank is slightly ahead of Perk. On community (issue response, PR reviews and discussion health), Perk is clearly ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is clearly ahead of Perk.
Starling Bank carries 195 GitHub stars across 3 public repos, with 3 repositories active in the last 90 days and 0 external contributors on record. Perk shows 34 stars across 25 public repos, 5 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but Starling Bank's footprint is roughly 5.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Starling Bank is the stronger read for anyone weighting reach. Perk looks better where community 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 | Starling Bank | Perk |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #372 |
| Pillars | ||
| Overall | 33 | 42 |
| Code | 50 | 44 |
| Education | 55 | 54 |
| Community | 9 | 38 |
| Reach | 63 | 30 |
| Momentum | 48 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 195 | 34 |
| Forks | 29 | 11 |
| Public repos | 3 | 25 |
| Active repos (90d) | 3 | 5 |
| External contributors | 0 | 6 |
| Avg polish | 58 | 33 |
| Avg AI-readiness | 14 | 38 |