Jamf vs Pinterest
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jamf and Pinterest (Pinterest's Open Source Projects) both appear on the Smoower Developer Ecosystem Index.
Jamf and Pinterest sit at essentially the same overall ecosystem score (40), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Pinterest is clearly ahead of Jamf. On education (docs, guides and learning material for developers), Jamf is ahead of Pinterest. On community (issue response, PR reviews and discussion health), Pinterest is slightly ahead of Jamf. On reach (how visible the ecosystem is beyond its own repos), Jamf is ahead of Pinterest. On momentum (release cadence and how fast the ecosystem moves), Jamf is ahead of Pinterest.
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. Pinterest shows 30,737 stars across 98 public repos, 37 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but Pinterest's footprint is roughly 3.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Jamf is the stronger read for anyone weighting reach. Pinterest looks better where code quality 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 | |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #430 |
| Pillars | ||
| Overall | 40 | 40 |
| Code | 33 | 72 |
| Education | 68 | 55 |
| Community | 41 | 46 |
| Reach | 44 | 25 |
| Momentum | 61 | 43 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 7,946 | 30,737 |
| Forks | 1,547 | 4,632 |
| Public repos | 114 | 98 |
| Active repos (90d) | 20 | 37 |
| External contributors | 5 | 22 |
| Avg polish | 45 | 80 |
| Avg AI-readiness | 21 | 43 |