Let's make work better.
We make it unbelievably easy to manage your team's payroll, benefits, computers, and apps.
kununu vs Rippling
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
kununu (Let's make work better.) and Rippling (We make it unbelievably easy to manage your team's payroll, benefits, computers, and apps.) both appear on the Smoower Developer Ecosystem Index.
Rippling (rank #455) holds a narrow lead over kununu (rank #602) on the overall Smoower ecosystem score (39 vs 34). The gap of 5 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 Rippling. On education (docs, guides and learning material for developers), Rippling is ahead of kununu. On community (issue response, PR reviews and discussion health), Rippling is ahead of kununu. On reach (how visible the ecosystem is beyond its own repos), Rippling is ahead of kununu. On momentum (release cadence and how fast the ecosystem moves), kununu is clearly ahead of Rippling.
kununu carries 132 GitHub stars across 40 public repos, with 17 repositories active in the last 90 days and 2 external contributors on record. Rippling shows 156 stars across 11 public repos, 1 active in the last 90 days and 11 external contributors.
kununu is the stronger read for anyone weighting momentum. Rippling looks better where community 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 | Rippling |
|---|---|---|
| Ranking | ||
| Overall rank | #602 | #455 |
| Pillars | ||
| Overall | 34 | 39 |
| Code | 57 | 40 |
| Education | 42 | 56 |
| Community | 12 | 27 |
| Reach | 44 | 58 |
| Momentum | 38 | 6 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 132 | 156 |
| Forks | 16 | 126 |
| Public repos | 40 | 11 |
| Active repos (90d) | 17 | 1 |
| External contributors | 2 | 11 |
| Avg polish | 55 | 42 |
| Avg AI-readiness | 34 | 26 |