The employee feedback platform
Culture Amp vs Customer IO
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Culture Amp (The employee feedback platform) and Customer IO both appear on the Smoower Developer Ecosystem Index.
Customer IO (rank #165) holds a modest lead over Culture Amp (rank #693) on the overall Smoower ecosystem score (51 vs 31). The gap of 20 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Customer IO is slightly ahead of Culture Amp. On education (docs, guides and learning material for developers), Customer IO is clearly ahead of Culture Amp. On community (issue response, PR reviews and discussion health), Customer IO is ahead of Culture Amp. On reach (how visible the ecosystem is beyond its own repos), Customer IO is ahead of Culture Amp. On momentum (release cadence and how fast the ecosystem moves), Customer IO 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. Customer IO shows 684 stars across 107 public repos, 42 active in the last 90 days and 26 external contributors.
Culture Amp is worth a look for teams already invested in its stack. Customer IO looks better where education 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 | Customer IO |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #165 |
| Pillars | ||
| Overall | 31 | 51 |
| Code | 53 | 54 |
| Education | 49 | 80 |
| Community | 24 | 35 |
| Reach | 20 | 40 |
| Momentum | 31 | 45 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,202 | 684 |
| Forks | 123 | 346 |
| Public repos | 179 | 107 |
| Active repos (90d) | 17 | 42 |
| External contributors | 18 | 26 |
| Avg polish | 51 | 54 |
| Avg AI-readiness | 38 | 46 |