The employee feedback platform
Culture Amp vs Linear
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Culture Amp (The employee feedback platform) 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 Culture Amp (rank #693) on the overall Smoower ecosystem score (55 vs 31). The gap of 24 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Culture Amp is slightly ahead of Linear. On education (docs, guides and learning material for developers), Linear is slightly ahead of Culture Amp. On community (issue response, PR reviews and discussion health), Linear is ahead of Culture Amp. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Culture Amp. On momentum (release cadence and how fast the ecosystem moves), Linear is ahead of Culture Amp.
Culture Amp carries 1,202 GitHub stars across 179 public repos, with 17 repositories active in the last 90 days and 18 external contributors on record. Linear shows 1,971 stars across 22 public repos, 5 active in the last 90 days and 21 external contributors.
Culture Amp 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 | Culture Amp | Linear |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #103 |
| Pillars | ||
| Overall | 31 | 55 |
| Code | 53 | 45 |
| Education | 49 | 56 |
| Community | 24 | 36 |
| Reach | 20 | 76 |
| Momentum | 31 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,202 | 1,971 |
| Forks | 123 | 436 |
| Public repos | 179 | 22 |
| Active repos (90d) | 17 | 5 |
| External contributors | 18 | 21 |
| Avg polish | 51 | 42 |
| Avg AI-readiness | 38 | 31 |