Let's make work better.
kununu vs Qualtrics
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
kununu (Let's make work better.) and Qualtrics both appear on the Smoower Developer Ecosystem Index.
kununu (rank #567) holds a narrow lead over Qualtrics (rank #691) on the overall Smoower ecosystem score (35 vs 31). The gap of 4 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), kununu is clearly ahead of Qualtrics. On education (docs, guides and learning material for developers), kununu is slightly ahead of Qualtrics. On reach (how visible the ecosystem is beyond its own repos), Qualtrics is clearly ahead of kununu. On momentum (release cadence and how fast the ecosystem moves), kununu is ahead of Qualtrics.
kununu carries 138 GitHub stars across 40 public repos, with 17 repositories active in the last 90 days and 3 external contributors on record. Qualtrics shows 20 stars across 20 public repos, 7 active in the last 90 days and 3 external contributors. The star gap on its own does not decide the comparison, but kununu's footprint is roughly 6.9x 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. Qualtrics 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 | Qualtrics |
|---|---|---|
| Ranking | ||
| Overall rank | #567 | #691 |
| Pillars | ||
| Overall | 35 | 31 |
| Code | 57 | 27 |
| Education | 42 | 40 |
| Community | 14 | 14 |
| Reach | 44 | 82 |
| Momentum | 38 | 18 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 138 | 20 |
| Forks | 16 | 13 |
| Public repos | 40 | 20 |
| Active repos (90d) | 17 | 7 |
| External contributors | 3 | 3 |
| Avg polish | 55 | 28 |
| Avg AI-readiness | 37 | 19 |