Jamf vs Starling Bank
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jamf and Starling Bank both appear on the Smoower Developer Ecosystem Index.
Jamf (rank #430) holds a narrow lead over Starling Bank (rank #625) on the overall Smoower ecosystem score (40 vs 33). The gap of 7 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Starling Bank is ahead of Jamf. On education (docs, guides and learning material for developers), Jamf is ahead of Starling Bank. On community (issue response, PR reviews and discussion health), Jamf is clearly ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is ahead of Jamf. On momentum (release cadence and how fast the ecosystem moves), Jamf is ahead of Starling Bank.
Jamf carries 7,946 GitHub stars across 114 public repos, with 20 repositories active in the last 90 days and 5 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 Jamf's footprint is roughly 40.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Jamf 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 | Jamf | Starling Bank |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #625 |
| Pillars | ||
| Overall | 40 | 33 |
| Code | 33 | 50 |
| Education | 68 | 55 |
| Community | 41 | 9 |
| Reach | 44 | 63 |
| Momentum | 61 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 7,946 | 195 |
| Forks | 1,547 | 29 |
| Public repos | 114 | 3 |
| Active repos (90d) | 20 | 3 |
| External contributors | 5 | 0 |
| Avg polish | 45 | 58 |
| Avg AI-readiness | 21 | 14 |