Julia Package GR


For the Julia programming language an official GR.jl package has been registered. You can add the GR framework to your Julia installation by entering the Pkg REPL-mode with ] and typing:

add GR

In Julia versions without the Pkg REPL-mode you can instead use the Pkg.add() function:


This will automatically install both the GR runtime and the Julia wrapper. You may need to install some additional dependencies on Linux:

  • Debian/Ubuntu:

    apt install libxt6 libxrender1 libxext6 libgl1-mesa-glx libqt5widgets5

  • CentOS 7:

    yum install libXt libXrender libXext mesa-libGL qt5-qtbase-gui

  • Fedora 28:

    dnf install libXt libXrender libXext mesa-libGL qt5-qtbase-gui

  • openSUSE 42.3 / 15:

    zypper install libXt6 libXrender1 libXext6 Mesa-libGL1 libQt5Widgets5

  • Arch Linux:

    pacman -S mesa qt5-base

  • CentOS 6 / Other Linux distributions

    yum install libXt libXrender libXext Mesa-libGL qt-x11

    Note: The CentOS 6 build is used for other Linux distributions and relies on Qt 4 for the gksqt application, so you may need to install X11, OpenGL and Qt 4 packages specific to your system.

On FreeBSD make sure to install the these packages:

pkg install libXt libXrender libXext mesa-libs qt5

For information on building the GR runtime yourself, see Building the GR Runtime.

Docker and other headless Linux systems

  • GR does not rely on X11 for its non-interactive output formats, so you will not need the dependencies listed above on a headless system.

  • GR3 uses GLX for OpenGL context creation, which requires a connection to an X server. If you are using a headless sytem, e.g. a Docker container, you can use Xvfb or similar tools to start an X server that can be used by GR3, although it may only provide software rendering.

Getting Started

After installing GR, you can try it out by creating a simple plot. Let’s start with a simple example. We generate 10,000 random numbers and create a histogram. The histogram function automatically chooses an appropriate number of bins to cover the range of values in x and show the shape of the underlying distribution.

using GR


You can find several tutorials on using GR in the Tutorials section.