OSCAR Symbolic Tools

Try OSCAR Online


You can try OSCAR online without installing anything, using the NFDI JupyterHub service.

The NFDI JupyterHub provides free daily computing resources for interactive sessions such as OSCAR. The available quota is subject to change, but is typically sufficient for exploring OSCAR and running tutorials for a few hours.

Occasionally, the login process may stall or become unresponsive. In that case, we recommend restarting the process by revisiting https://hub.nfdi-jupyter.de/workshops/oscar-latest.


Follow the following steps to try out OSCAR online.

  1. Visit https://hub.nfdi-jupyter.de/workshops/oscar-latest and click the “Sign In” button.

    Main Login

  2. On the next page, select “Gast Zugang / Guest Access” if no other option applies to you.

    Select Guest Access

  3. Select your academic institution, Google, GitHub, or ORCID to sign in, and follow the authentication workflow. On first login, additional registration steps may appear.

    Select Your Institute

  4. You should now see a list containing an entry called “Try out the latest OSCAR in the cloud” with a “Start” button to its right. Click the “Start” button to launch OSCAR online.

    Start The Server

    Startup may take several minutes, after which you will be redirected to a Jupyter interface.

  5. In the Notebook section, click the entry labeled “Oscar” to launch a Jupyter notebook.

    Oscar Selection In Notebook Section

    Other launch options are available as well. If you accidentally launch a different entry, simply close the browser tab and return to the launcher page.

  6. You can now use OSCAR inside the Jupyter notebook.

    First, run a simple statement such as println(4) to verify that the Julia kernel is connected to the notebook. This step may take several minutes while the server completes its setup.

    Next, run using Oscar to load OSCAR and Oscar.versioninfo() to display information about the loaded OSCAR version.

    OSCAR In Jupyter

  7. You are now ready to run computations with OSCAR.

    OSCAR In Jupyter Continuation

    Fancy one of our tutorials?

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