Let's make work better.
kununu vs Linear
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
kununu (Let's make work better.) and Linear (A purpose-built tool for planning and building products) both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a meaningful lead over kununu (rank #602) on the overall Smoower ecosystem score (55 vs 34). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), kununu is ahead of Linear. On education (docs, guides and learning material for developers), Linear is ahead of kununu. On community (issue response, PR reviews and discussion health), Linear is clearly ahead of kununu. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of kununu. On momentum (release cadence and how fast the ecosystem moves), Linear is slightly ahead of kununu.
kununu carries 132 GitHub stars across 40 public repos, with 17 repositories active in the last 90 days and 2 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 Linear's footprint is roughly 14.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
kununu is the stronger read for anyone weighting code quality. 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 | kununu | Linear |
|---|---|---|
| Ranking | ||
| Overall rank | #602 | #103 |
| Pillars | ||
| Overall | 34 | 55 |
| Code | 57 | 45 |
| Education | 42 | 56 |
| Community | 12 | 36 |
| Reach | 44 | 76 |
| Momentum | 38 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 132 | 1,971 |
| Forks | 16 | 436 |
| Public repos | 40 | 22 |
| Active repos (90d) | 17 | 5 |
| External contributors | 2 | 21 |
| Avg polish | 55 | 42 |
| Avg AI-readiness | 34 | 31 |