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.


Info: This package contains files in non-standard labels.

conda install

  • osx-arm64  v6.26.6
  • linux-64  v6.26.6
  • linux-ppc64le  v6.26.6
  • linux-aarch64  v6.26.6
  • osx-64  v6.26.6
To install this package with conda run one of the following:
conda install -c conda-forge root
conda install -c conda-forge/label/gcc7 root
conda install -c conda-forge/label/broken root
conda install -c conda-forge/label/cf202003 root


Almost everything in ROOT should be supported in this Conda package; ROOT was built with lots of options turned on. Here are a few things to try:

  • root: you can start up a session and see the splash screen; Control-D to exit.
  • python followed by import ROOT will load PyROOT.
  • root --notebook will start a notebook server with a ROOT kernel choice.
  • rootbrowse will open a TBrowser session so you can look through files.
  • root -l -q $ROOTSYS/tutorials/dataframe/df013_InspectAnalysis.C will run a DataFrame example with an animated plot.
  • root -b -q -l -n -e "std::cout << TROOT::GetTutorialDir() << std::endl;" will print the tutorial dir.
  • root -b -l -q -e 'std::cout << (float) TPython::Eval("1+1") << endl;' will run Python from C++ ROOT.

See the post here for more information about using this Conda package.

The ROOT package will prepare the required compilers. Everything in Conda is symlinked into $CONDA_PREFIX if you build things by hand; tools like CMake should find it automatically. The thisroot.* scripts should not be used and are not provided. Graphics, rootbrowse, etc. all should work. OpenGL is enabled.

There is also a root_base package, with minimal dependecies, that libraries should depend on this to avoid having a runtime dependency on the compilers package. root-dependencies and root-binaries are also available. In most cases users should use the root package directly, since it adds both of these, along with compilers, Jupyter, and a few other things to facilitate using ROOT or PyROOT.

ROOT was built with and will report -std=c++17 from root-config.

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