ROOT is an object-oriented framework developed by CERN written in C++. It is especially designed to efficiently handle large amounts of data.
ROOT is an object-oriented framework for particle physics data analysis. It is developed by CERN and written in C++ with bindings to other languages, most notably Python. It has classes for histogramming, graphs, fitting, basic matrix algebra, Lorentz vector algebra, 3D visualization and more. Almost all ROOT objects can be persisted when writing them to a file.
ROOT is the base framework for the RooFit and RooStat projects, devoted to statistical analysis, and for TMVA for multivariate analysis (machine learning).
ROOT has interface to python (PyROOT pyroot) and to Ruby.
ROOT provides C++ interpreters, CINT (ROOT5 and earlier) and Cling (ROOT6 or later).
ROOT can be used in Jupyter notebooks with python and c++ (root notebooks).
Official support is at https://root-forum.cern.ch/.
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