Installing OSCAR 1.3.1 on Linux

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To install OSCAR v1.3.1, the latest stable release, follow the steps below.

The following instructions assume that you are at least somewhat familiar with using a terminal interface.

Having trouble? You can visit our Contact & Support page to get in touch — or check out the Frequently Asked Questions for quick tips and troubleshooting guidance.

Step 1: Install prerequisites

If you are using Ubuntu 20.04 “Focal” or newer, or Debian 11 “Bullseye” or newer, proceed as follows: Enter these commands into a terminal (this will prompt for your root password and requires that you have permissions to administer your computer):

sudo apt update
sudo apt install build-essential

If you are using Fedora 40 or newer, enter the following commands into a terminal (this will prompt for your password and requires that you have permissions to administer your computer):

sudo dnf install gcc-c++ make

Step 2: Install Julia

OSCAR requires Julia 1.6.0 or higher. We recommend using the latest stable release of Julia as follows:

curl -fsSL https://install.julialang.org | sh

Step 3: Install OSCAR

1. Open the Julia REPL in your terminal.

   julia
   

2. Install OSCAR by running the following commands. This may take a while to complete, as it will download and install OSCAR and its dependencies.

   using Pkg
   Pkg.add("Oscar")
   

Step 4: Start OSCAR

After the installation is complete, you can start using OSCAR by running using Oscar in the Julia REPL:

julia> using Oscar
  ___   ____   ____    _    ____
 / _ \ / ___| / ___|  / \  |  _ \   |  Combining ANTIC, GAP, Polymake, Singular
| | | |\___ \| |     / _ \ | |_) |  |  Type "?Oscar" for more information
| |_| | ___) | |___ / ___ \|  _ <   |  Manual: https://docs.oscar-system.org
 \___/ |____/ \____/_/   \_\_| \_\  |  Version 1.0.0

Step 5: Running Tutorials Locally with IJulia

1. Install IJulia (and jupyter) by running the following command inside your Julia REPL:

   using Pkg; Pkg.add("IJulia")
   

   For more details, refer to the installation guide. If you encounter issues, you may need to explicitly build IJulia. Troubleshooting info can be found on the IJulia troubleshooting page.

2. Download the tutorial of your interested from the list of available OSCAR tutorials.
3. Start Jupyter by running the following in your Julia REPL:

   using IJulia; notebook()
   

4. Your web browser should open with the Jupyter interface, where “Jupyter” is displayed in the upper-left corner, and a file explorer appears below. Locate and open the tutorial notebook of your interest.
   You might see a pop-up with the message “Kernel not found” or “Kernel error”. You can resolve this by selecting a different Julia kernel from the notebook’s kernel menu.