Jupyter Notebooks is a powerful computational notebook tool that lets you create and share your code. JupyterLab uses Jupyter Notebook and takes it much further. JupyterLab is an interactive web-based development environment for working with Jupyter Notebooks, text editors, terminals, and custom components.

You can arrange multiple Notebooks, documents, and activities in a single interface using tabs and splitters. Also, JupyterLab has a modular extensible architecture that lets you customize your development environment. A Notebook is just one of the components that you can work on in JupyterLab.

To create a new JupyterLab instance:

  • Log in to your Neu.ro dashboard.

  • Click RUN A JOB in the IDEs widget.

  • Select Jupyterlab in the top drop-down menu, a preset in the bottom drop-down menu, and click RUN.

When you start a JupyterLab, the platform storage is attached as /var/storage. All data created during a lab session in this folder persists and can be used later.

All JupyterLab instances are jobs that run on GPU-small preset. You must kill the JupyterLab session whenever you are done; else, it consumes GPU hours.

JupyterLab instance

The Jupyter UI has the following areas:

  • Tools area: The tools area lists the most commonly used commands.

  • Work area: The work area hosts the launcher and the tabs that you are currently working on.

  • Menu: The menu bar includes all available options for JupyterLab.

The tools area lists a host of options available for JupyterLab, such as:

  • File Browser for managing files in the storage.

  • Sessions for managing a list of active sessions.

  • Commands for viewing the commands available for the current state.

  • Properties for managing the properties for the current selection.

  • Tabs to view the list of tabs open.

  • Extension Manager.

For more information about JupyterLab, see JupyterLab documentation.

Manage your JupyterLab Instances

You can manage your JupyterLab instances from the Neu.ro dashboard. The JupyterLab instances are listed in the Running Jobs section, and their names start with jupyter-lab-.

You can view the details of your JupyterLab instance by clicking on its job ID.

You can open an instance by clicking HTTP ULR:

  • In the Running Jobs section on your Dashboard.

  • In the drop-down menu for the corresponding job in the job list.

You can kill the JupyterLab instance using the same drop-down menu. Note that closing the tab does not kill the instance.

Alternatively, you can kill the instance from the JupyterLab instance using the File > Shut Down option.

Killing a JupyterLab instance

An instance is automatically terminated 24 hours after initiation.