ROOT Reviews & Product Details

Ability to convert several natural languages and provide great statistical analysis Review collected by and hosted on G2.com.

tough for a non technical user especially those have less grip on coding and programing languages Review collected by and hosted on G2.com.

The upside is that the program is completely IT. iF YOU WANT TECH SAVY THIS IS FOR YOU Review collected by and hosted on G2.com.

nO WAY TO RATE FOR WHOLE FAMIly adequately Review collected by and hosted on G2.com.

It's a great framework and robust. I really enjoyed the mining data capabilities. It's powerful mathematical and statistical tools are powerful and easy to integrate. Review collected by and hosted on G2.com.

It's a very specific need for this framework. If I was more into physics and testing out simulations this would be a good to. Also the C++ framework it does not give you a whole of different options to expand. Review collected by and hosted on G2.com.

Open Source, I like the most that it is an open source for all. Review collected by and hosted on G2.com.

Low Spec. PC may crash while performing analysis. Review collected by and hosted on G2.com.

There are two main points about ROOT - its open source and its a product of generations of scientists. Descending from Paw (still in FORTRAN), ROOT was the C++ version for the comprehensive data analysis first for the high energy physicists and then for the general programming community to use. Most attractive features include cross-platform, ability to call from Python or R, JS-viewer and the GUI libraries that can be easily incorporated into any c++ design (so that program is easily portable from Win to POSIX and back and its the same libraries being called). Review collected by and hosted on G2.com.

first its the very steep learning curse. It is hard to say if I would be using it if it were not for being pushed to learn it as a grad student. But after you grasp the internal logic of it, all starts to seem cohesive and allows for a fast prototyping either using Python or from a build-in c++ interpreter. Review collected by and hosted on G2.com.

-ability to write small scripts fast.. no need for compiler;

-fast execution in Python (2-3) due to pre-made libraries;

-include TApplication class and get ROOT GUI in your application with all features;

-powerful fitting and statistics packages;

-If compile in c++, small .exe as its using the libraries.. but need to have ROOT installed for it to work.

-ROOT-js for browser viewer and event monitoring.

-open-gl capability for 3d models of equipment.

-fast start on neural networks exists but i haven't used it yet. Review collected by and hosted on G2.com.

-steep learning curve - can't do something very simple as a beginner, need to reach certain level learning this package first.

-Overall syntax sometimes makes no sense; they are trying to change that in version 7 but its not yet released; also after spending much time in figuring out how old syntax works, its not very exciting to get another one...

-Large pre-compile file as all headers include all headers (used to be a problem, with fast PC makes no difference)..

-works best for Linux (most distributions) but is typically hard to compile the package on MAC, especially with python library (problems from macOS since python headers are not provided, not ROOT side) Review collected by and hosted on G2.com.

ROOT is a C++ based framework for analyzing huge data sample. Although developed for the High Energy Physics it is really scalable and flexible to analyze whatever you need to. Since it's C++ based ROOT is powerful, fast and eventually optimized. Review collected by and hosted on G2.com.

Sometimes the crashes (due to for instance memory leaks or other problems) are very cryptic to debug. Review collected by and hosted on G2.com.

It interfaces easily with our existing library of C and C++ data analysis code. Review collected by and hosted on G2.com.

GUIs could use improvement. TBrowser, for instance. Review collected by and hosted on G2.com.