Getting Started
Reference Guide
ROOT is ...
A modular scientific software toolkit. It 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.
Start from examples or try it in your browser!
Under the Spotlight
2019-02-02
Full Totem Analysis based on RDataFrame and distributed on a big Spark cluster with PyRDF!
Milosz Blaszkiewicz and Aleksandra Mnich (AGH University of Science and Technology - Poland) wanted to evaluate a set of Big Data tools for the analysis of the data from the TOTEM experiment which will enable interactive or semi-interactive work with large amounts of data.
2018-01-17
ROOT Users' Workshop 2018
The ROOT team would like to invite you to the 11th ROOT Users' Workshop.
2017-08-03
The ROOT Docker container (alpha version)
2016-09-05
Get the most out of the ROOT tutorials!
All ROOT tutorials are now available as ROOTBooks which can be statically visualized via NBViewer or interactively explored with SWAN.
Other News
2019-01-30
More tests, more benchmarks!
2019-01-30
Better argument parsing
2019-01-30
Transform GNU-makefile tests to CMake
2018-07-11
RDataFrame session at CHEP 2018