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The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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ROOT is a unified software package for the storage, processing, and analysis ofscientific data: from its acquisition to the final visualization in form of highlycustomizable, publication-ready plots. It is reliable, performant and well supported,easy to use and obtain, and strives to maximize the quantity and impact of scientificresults obtained per unit cost, both of human effort and computing resources.
ROOT provides a very efficient storage system for data models,that demonstrated to scale at the Large Hadron Collider experiments: Exabytesof scientific data are written in columnar ROOT format.ROOT comes with histogramming capabilities in an arbitrary number ofdimensions, curve fitting, statistical modelling, minimization, to allowthe easy setup of a data analysis system that can query and process the datainteractively or in batch mode, as well as a general parallel processingframework, RDataFrame, that can considerably speed up an analysis, takingfull advantage of multi-core and distributed systems.
ROOT is performance critical software written in C++ and enables rapid prototypingpowered by a unique C++ compliant interpreter called Cling.Cling also enables performant C++ type introspection which is a building block of automaticinteroperability with Python. Thanks to PyROOT, leveraging the cppyy technology,ROOT offers efficient, on-demand C++/Python interoperability in a uniform cross-languageexecution environment.
ROOT fully embraces open-source, it's made with passion by its community,for the benefit of its community.
When citing ROOT, please use both the reference reported below and the DOI specific to your ROOT version availableon Zenodo. For example, you can copy-paste and fill in the following citation:
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy
See more screenshots on ourgallery.
Seehttps://root.cern/install for installation instructions.For instructions on how to build ROOT from these source files, seehttps://root.cern/install/build_from_source.
Our"Getting started with ROOT" page is then the perfect place to get familiar with ROOT.
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The official repository for ROOT: analyzing, storing and visualizing big data, scientifically