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About root_base-feedstock

Feedstock license: BSD-3-Clause


Package license: LGPL-2.1-only

Summary: 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.



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.

Current build status

linux_64_numpy1.22python3.10.____cpython variant
linux_64_numpy1.22python3.8.____cpython variant
linux_64_numpy1.22python3.9.____cpython variant
linux_64_numpy1.23python3.11.____cpython variant
linux_aarch64_numpy1.22python3.10.____cpython variant
linux_aarch64_numpy1.22python3.8.____cpython variant
linux_aarch64_numpy1.22python3.9.____cpython variant
linux_aarch64_numpy1.23python3.11.____cpython variant
linux_ppc64le_numpy1.22python3.10.____cpython variant
linux_ppc64le_numpy1.22python3.8.____cpython variant
linux_ppc64le_numpy1.22python3.9.____cpython variant
linux_ppc64le_numpy1.23python3.11.____cpython variant
osx_64_numpy1.22python3.10.____cpython variant
osx_64_numpy1.22python3.8.____cpython variant
osx_64_numpy1.22python3.9.____cpython variant
osx_64_numpy1.23python3.11.____cpython variant
osx_arm64_numpy1.22python3.10.____cpython variant
osx_arm64_numpy1.22python3.8.____cpython variant
osx_arm64_numpy1.22python3.9.____cpython variant
osx_arm64_numpy1.23python3.11.____cpython variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing root_base

Installing root_base from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, root, root_base can be installed with conda:

conda install root root_base

or with mamba:

mamba install root root_base

It is possible to list all of the versions of root available on your platform with conda:

conda search root --channel conda-forge

or with mamba:

mamba search root --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search root --channel conda-forge

# List packages depending on `root`:
mamba repoquery whoneeds root --channel conda-forge

# List dependencies of `root`:
mamba repoquery depends root --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.


feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating root_base-feedstock

If you would like to improve the root_base recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/root_base-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers