ROOT vs. G*Power
A side-by-side comparison based on G2 review data.
| Metric | ROOT | G*Power |
|---|---|---|
| Overall rating | 4.3 | 4.7 |
| Review count | 18 | 10 |
| Ease of use | 7.6 | 8.8 |
| Ease of setup | 9.5 | 9.0 |
| Quality of support | 7.9 | 9.3 |
| Meets requirements | 8.4 | 9.1 |
| NPS | 55.555556 | 80 |
| Small Business | 55.6% | 40.0% |
| Mid-Market | 33.3% | 20.0% |
| Enterprise | 11.1% | 40.0% |
| Total page views | 35 | 79 |
| Total LLM citations | 14 | 194 |
ROOT
ROOT is a modular scientific software framework that provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage, it is mainly written in C++ but integrated with other languages such as Python and R.
G*Power
G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.