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Installation

Setting up Julia

If you have not yet installed Julia, please follow the instructions for your operating system. TrixiParticles.jl works with Julia v1.9 and newer. We recommend using the latest stable release of Julia.

For users

TrixiParticles.jl is a registered Julia package. You can install TrixiParticles.jl, OrdinaryDiffEq.jl (used for time integration) and Plots.jl by executing the following commands in the Julia REPL:

julia> using Pkg

julia> Pkg.add(["TrixiParticles", "OrdinaryDiffEq", "Plots"])

For developers

If you plan on editing TrixiParticles.jl itself, you can download TrixiParticles.jl to a local folder and use the code from the cloned directory:

git clone git@github.com:trixi-framework/TrixiParticles.jl.git
cd TrixiParticles.jl
mkdir run
julia --project=run -e 'using Pkg; Pkg.develop(PackageSpec(path="."))' # Add TrixiParticles.jl to `run` project
julia --project=run -e 'using Pkg; Pkg.add("OrdinaryDiffEq", "Plots")' # Add additional packages

If you installed TrixiParticles.jl this way, you always have to start Julia with the --project flag set to your run directory, e.g.,

julia --project=run

from the TrixiParticles.jl root directory.

The advantage of using a separate run directory is that you can also add other related packages (e.g., OrdinaryDiffEq.jl, see above) to the project in the run folder and always have a reproducible environment at hand to share with others.

Optional software/packages

  • OrdinaryDiffEq.jl – A Julia package of ordinary differential equation solvers that is used in the examples
  • Plots.jl – Julia Plotting library that is used in some examples
  • PythonPlot.jl – Plotting library that can be used instead of Plots.jl
  • ParaView – Software that can be used for visualization of results

Common issues

If you followed the installation instructions for developers and you run into any problems with packages when pulling the latest version of TrixiParticles.jl, start Julia with the project in the run folder,

   julia --project=run

update all packages in that project, resolve all conflicts in the project, and install all new dependencies:

julia> using Pkg

julia> Pkg.update()

julia> Pkg.resolve()

julia> Pkg.instantiate()