G*Power vs. ROOT
A side-by-side comparison based on G2 review data.
| Metric | G*Power | ROOT |
|---|---|---|
| Overall rating | 4.7 | 4.3 |
| Review count | 10 | 18 |
| Ease of use | 8.8 | 7.6 |
| Ease of setup | 9.0 | 9.5 |
| Quality of support | 9.3 | 7.9 |
| Meets requirements | 9.1 | 8.4 |
| NPS | 80 | 55.555556 |
| Small Business | 40.0% | 55.6% |
| Mid-Market | 20.0% | 33.3% |
| Enterprise | 40.0% | 11.1% |
| Total page views | 79 | 35 |
| Total LLM citations | 194 | 14 |
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.
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.