Package license: LGPL-2.1
Feedstock license: BSD 3-Clause
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.
import ROOTwill load PyROOT.
root --notebookwill start a notebook server with a ROOT kernel choice.
rootbrowsewill open a TBrowser session so you can look through files.
root -l -q $ROOTSYS/tutorials/dataframe/df013_InspectAnalysis.Cwill 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 (see below). Everything in Conda is symlinked into
$CONDA_PREFIX if you build things by hand; tools like CMake should find it automatically. The
scripts should not be used. Graphics,
rootbrowse, etc. all should work.
On Linux, there really aren't any special caveats, just a few general to Conda itself, and the compilers package.
When ROOT is in the active environment,
$CXX are the conda compilers, GCC 7.3.
ROOT was built with and will report
The caveats on macOS are a bit larger, but have the same reason for existing as on Linux. When ROOT is in the
$CXX will be the Conda compilers; but those compilers are Clang 4.0 and the
macOS 10.9 SDK. You must install the macOS 10.9 SDK, as mentioned in the conda
documentation, if you want
to build anything. And, while normal ROOT and PyROOT are fine, commands like
root MyFile.C+ actively build
things, so this is probably something many users will want to do. Once the macOS is downloaded and extracted on
your system, you should set
CONDA_BUILD_SYSROOT to point to the SDK root location, such as
/opt/MacOSX10.9.sdk. This will not be necessary once ROOT moves to using LLVM 8.
ROOT does not link to Python directly in order to properly support PyROOT from Python, but has been patched to provide the correct behavior to allow PyROOT to also be used from ROOT's C++ command line.
ROOT was built with and will report
![ppc64le disabled]( Current build statushttps://img.shields.io/badge/ppc64le-disabled-lightgrey.svg)
Current release info
root from the
conda-forge channel can be achieved by adding
conda-forge to your channels with:
conda config --add channels conda-forge
conda-forge channel has been enabled,
root can be installed with:
conda install root
It is possible to list all of the versions of
root available on your platform with:
conda search root --channel conda-forge
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 CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
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
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)
If you would like to improve the root 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
Note that all branches in the conda-forge/root-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
- If the version of a package is being increased, please remember to return
build/numberback to 0.