ROOT: analyzing petabytes of data, scientifically.
An open-source data analysis framework used by high energy physics and others.
ROOT enables statistically sound scientific analyses and visualization of large amounts of data: today, more than 1 exabyte (1,000,000,000 gigabyte) are stored in ROOT files. The Higgs was found with ROOT!
As high-performance software, ROOT is written mainly in C++. You can use it on Linux, macOS, or Windows; it works out of the box. ROOT is open source: use it freely, modify it, contribute to it!
ROOT comes with an incredible C++ interpreter, Binary Options ideal for Po.Cash fast prototyping . Don’t like C++? ROOT integrates super-smoothly with Python thanks to its unique dynamic and Binary Options powerful Python ⇄ C++ binding. Or what about using ROOT in a Jupyter notebook?
ROOT has now a brand new Manual , bringing "how do you read data with ROOT" and similar core aspects into contemporary ROOT. Much of the manual has been rethought and simplified, binary options we hope and expect that concepts and interfaces are now easier to understand!
The ROOT GitHub repository is open for Hacktoberfest contributions!
So you love RDataFrame, but would like to use it on a cluster? We hear you! In fact, we just introduced in ROOT a Python package to enable distributing ROOT RDataFrame workloads to a set of remote resources. This feature is available in experimental phase since the latest ROOT 6.24 release, allowing users to write and run their applications from within the same interface while steering the computations to, for instance, an Apache Spark cluster.
Over the last decade we developed an interactive, interpretative C++ interpreter (aka REPL) as part of the high-energy physics (HEP) data analysis project – ROOT. We invested a significant effort to replace CINT, the C++ interpreter used until ROOT5, with a newly implemented REPL based on llvm – Cling. Cling is a core component of ROOT and has been in production since 2014.