Starling Bank vs Zapier
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Starling Bank and Zapier both appear on the Smoower Developer Ecosystem Index.
Zapier (rank #27) holds a meaningful lead over Starling Bank (rank #625) on the overall Smoower ecosystem score (64 vs 33). The gap of 31 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zapier is ahead of Starling Bank. On education (docs, guides and learning material for developers), Zapier is ahead of Starling Bank. On community (issue response, PR reviews and discussion health), Zapier is clearly ahead of Starling Bank. On momentum (release cadence and how fast the ecosystem moves), Zapier is slightly ahead of Starling Bank.
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. Zapier shows 6,774 stars across 296 public repos, 13 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but Zapier's footprint is roughly 34.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Starling Bank is worth a look for teams already invested in its stack. Zapier 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 | Zapier |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #27 |
| Pillars | ||
| Overall | 33 | 64 |
| Code | 50 | 68 |
| Education | 55 | 73 |
| Community | 9 | 37 |
| Reach | 63 | 63 |
| Momentum | 48 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 195 | 6,774 |
| Forks | 29 | 1,358 |
| Public repos | 3 | 296 |
| Active repos (90d) | 3 | 13 |
| External contributors | 0 | 22 |
| Avg polish | 58 | 79 |
| Avg AI-readiness | 14 | 43 |