Jupyter Shared Sessions

Available on Shakudo version 3.34.2+

The Jupyter Shared Sessions feature enables real-time collaboration within JupyterLab, allowing multiple users to interact with the same environment seamlessly. This functionality enhances teamwork by providing shared editing and execution capabilities for notebooks and files within the Shakudo ecosystem.

With Jupyter Shared Sessions, users can co-edit documents, view shared cursors, and automatically save changes in a synchronized environment. This eliminates conflicts, streamlines workflows, and promotes an efficient collaborative experience for data scientists, developers, and analysts.

Features of Jupyter Shared Sessions

Real-Time Collaboration: Multiple users can simultaneously edit and execute cells in notebooks or modify files in real time.
Shared Cursors: Visualize where collaborators are working, with disappearing username indicators to maintain focus on the document.
Automatic Saving: All changes are saved automatically after a short interval, ensuring no data is lost.
Conflict-Free Editing: No warning dialogs or conflicts when editing the same file—synchronization is seamless.
Environment Sharing: Collaborators gain access to the same runtime environment, ensuring consistency in data and code execution.

1. Create a Session with jhub-basic environment config

Navigate to the Sessions panel and click on the create session button.
Select the Basic environment config and click on the create session button.
Wait for the session to start and initialize the JupyterLab server.
Once the JupyterLab icon appears, click on it to open the session.

2. Within JupyterLab Create a RTC python Notebook

Click on the Python 3 ipykernel icon.
Start developing.

3. Create a shared link to invite other users

Click on the link icon in the top right corner of the screen.
Copy the link and share it with your additional users.
Alternatively, include the session token in the shared link by selecting the checkbox.
To share your Session with non-admins, you will need to publish your Session in the Shakudo dashboard.