While the feature set of the ROOT framework is vast and not everything can be supported in the conda distribution, this package aims at enabling most of the features of ROOT. 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 to access all ROOT functionalities via the Python bindings.
• 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 -b -q -l $ROOTSYS/tutorials/analysis/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.

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.

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. In most cases users should use the root package directly, since it adds more features (taking care of their dependencies) to facilitate usage of the ROOT Python bindings.