ROOT vs. Orange
A side-by-side comparison based on G2 review data.
| Metric | ROOT | Orange |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 18 | 33 |
| Ease of use | 7.6 | 8.7 |
| Ease of setup | 9.5 | 9.3 |
| Quality of support | 7.9 | 7.5 |
| Meets requirements | 8.4 | 8.6 |
| NPS | 55.555556 | 51.724138 |
| Small Business | 55.6% | 60.6% |
| Mid-Market | 33.3% | 21.2% |
| Enterprise | 11.1% | 18.2% |
| Total page views | 35 | 207 |
| Total LLM citations | 14 | 628 |
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.
Orange
Orange is an open-source software suite designed for data visualization, machine learning, and data mining. Developed by the Bioinformatics Laboratory at the University of Ljubljana, it offers a user-friendly, component-based visual programming interface that enables users to construct complex data analysis workflows without the need for coding. This makes Orange accessible to both beginners and experienced data scientists, facilitating efficient and interactive data exploration.
- Ease of Use
- Learning
- Machine Learning