Evernote vs ExpressVPN
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Evernote and ExpressVPN both appear on the Smoower Developer Ecosystem Index.
Evernote and ExpressVPN sit at essentially the same overall ecosystem score (35), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), ExpressVPN is ahead of Evernote. On education (docs, guides and learning material for developers), Evernote is ahead of ExpressVPN. On community (issue response, PR reviews and discussion health), ExpressVPN is ahead of Evernote. On reach (how visible the ecosystem is beyond its own repos), ExpressVPN is ahead of Evernote. On momentum (release cadence and how fast the ecosystem moves), ExpressVPN is ahead of Evernote.
Evernote carries 9,832 GitHub stars across 22 public repos, with 1 repositories active in the last 90 days and 0 external contributors on record. ExpressVPN shows 1,250 stars across 12 public repos, 3 active in the last 90 days and 7 external contributors. The star gap on its own does not decide the comparison, but Evernote's footprint is roughly 7.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Evernote is the stronger read for anyone weighting education. ExpressVPN 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 | Evernote | ExpressVPN |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #569 |
| Pillars | ||
| Overall | 35 | 35 |
| Code | 45 | 57 |
| Education | 78 | 69 |
| Community | 18 | 30 |
| Reach | 32 | 48 |
| Momentum | 2 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,832 | 1,250 |
| Forks | 1,848 | 220 |
| Public repos | 22 | 12 |
| Active repos (90d) | 1 | 3 |
| External contributors | 0 | 7 |
| Avg polish | 49 | 63 |
| Avg AI-readiness | 32 | 29 |