jupyter-lab

Start JupyterLab

$ jupyter lab

$ jupyter lab [path/to/notebook.ipynb]

$ jupyter lab --notebook-dir [path/to/directory]

$ jupyter lab --debug

jupyter-lab [options] [path]

--port <port>
    Specifies the network port for the server to listen on.

--no-browser
    Prevents JupyterLab from automatically opening a web browser.

--ip <ip>
    Sets the IP address the server will bind to. Default is 127.0.0.1 (localhost).

--allow-root
    Permits running the server as the root user. Use with extreme caution due to security risks.

--notebook-dir <path>
    Sets the working directory for JupyterLab.

--collaborative
    Enables real-time collaboration features in notebooks.

--config <path>
    Specifies an alternative path to a Jupyter configuration file.

--debug
    Activates verbose logging for debugging purposes.

--help
    Displays the command-line help message and exits.

--version
    Prints the installed JupyterLab version and exits.

JupyterLab is the advanced, web-based user interface for Project Jupyter, designed to provide a comprehensive and flexible environment for interactive computing. It integrates the familiar Jupyter Notebook experience with a modern, extensible workspace.

Users can work with notebooks, code consoles, terminals, file editors, and view outputs like data visualizations – all within a single, unified interface. It supports various kernels (e.g., Python, R, Julia) and allows for customization through extensions, making it a versatile tool for data science, machine learning, scientific computing, and education. JupyterLab aims to be a robust IDE for data exploration and analysis, supporting a wide range of workflows.

The --allow-root flag should be used with extreme caution, as running JupyterLab as root can pose significant security risks by allowing arbitrary code execution with elevated privileges.

JupyterLab can consume significant system resources (CPU, RAM), especially when running multiple notebooks or complex computations.

Network configuration is crucial for remote access; ensure proper firewall rules and secure communication (HTTPS) when deploying on a server.

JupyterLab's architecture is highly extensible, allowing users to install various extensions (e.g., themes, language support, file format viewers, Git integration) to customize functionality and workflow. These are often installed via pip or conda or directly through the JupyterLab extension manager.

It's highly recommended to install and run JupyterLab within a Python virtual environment (e.g., venv, conda env) to manage dependencies and avoid conflicts with system-wide Python installations.

JupyterLab emerged as the successor to the classic Jupyter Notebook, addressing its limitations and providing a more modern, integrated development environment. Development began around 2015-2016, with the goal of creating a flexible, extensible web-based UI. It reached its 1.0 release in 2019 and continues to be actively developed by the Project Jupyter community, constantly adding new features and improving usability.

jupyter notebook(1), python(1), pip(1), conda(1)