Evernote vs Linear
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Evernote and Linear (A purpose-built tool for planning and building products) both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a modest lead over Evernote (rank #569) on the overall Smoower ecosystem score (55 vs 35). The gap of 20 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Evernote is clearly ahead of Linear. On community (issue response, PR reviews and discussion health), Linear is ahead of Evernote. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Evernote. On momentum (release cadence and how fast the ecosystem moves), Linear is clearly 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. Linear shows 1,971 stars across 22 public repos, 5 active in the last 90 days and 21 external contributors. The star gap on its own does not decide the comparison, but Evernote's footprint is roughly 5.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Evernote is the stronger read for anyone weighting education. Linear 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 | Linear |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #103 |
| Pillars | ||
| Overall | 35 | 55 |
| Code | 45 | 45 |
| Education | 78 | 56 |
| Community | 18 | 36 |
| Reach | 32 | 76 |
| Momentum | 2 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,832 | 1,971 |
| Forks | 1,848 | 436 |
| Public repos | 22 | 22 |
| Active repos (90d) | 1 | 5 |
| External contributors | 0 | 21 |
| Avg polish | 49 | 42 |
| Avg AI-readiness | 32 | 31 |