Gusto vs Jamf
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Gusto and Jamf both appear on the Smoower Developer Ecosystem Index.
Gusto (rank #338) holds a narrow lead over Jamf (rank #430) on the overall Smoower ecosystem score (43 vs 40). The gap of 3 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Gusto is clearly ahead of Jamf. On education (docs, guides and learning material for developers), Jamf is slightly ahead of Gusto. On community (issue response, PR reviews and discussion health), Jamf is slightly ahead of Gusto. On reach (how visible the ecosystem is beyond its own repos), Jamf is clearly ahead of Gusto. On momentum (release cadence and how fast the ecosystem moves), Jamf is clearly ahead of Gusto.
Gusto carries 781 GitHub stars across 148 public repos, with 20 repositories active in the last 90 days and 6 external contributors on record. Jamf shows 7,946 stars across 114 public repos, 20 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Jamf's footprint is roughly 10.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Gusto is the stronger read for anyone weighting code quality. Jamf looks better where momentum 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 | Gusto | Jamf |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #430 |
| Pillars | ||
| Overall | 43 | 40 |
| Code | 60 | 33 |
| Education | 66 | 68 |
| Community | 35 | 41 |
| Reach | 19 | 44 |
| Momentum | 33 | 61 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 781 | 7,946 |
| Forks | 217 | 1,547 |
| Public repos | 148 | 114 |
| Active repos (90d) | 20 | 20 |
| External contributors | 6 | 5 |
| Avg polish | 53 | 45 |
| Avg AI-readiness | 48 | 21 |