jupyterlab

View documentation for the original command

$ tldr jupyter lab

jupyter lab [options]

--no-browser
    Do not automatically open a browser when the server starts. The server URL will be printed to the console.

--port <port>
    Sets the port number for the server to listen on. The default port is 8888. If the port is in use, it will attempt to find the next available port.

--ip <ip>
    Sets the IP address on which the server will listen. Default is 127.0.0.1 (localhost). Use '0.0.0.0' to listen on all available IPs.

--notebook-dir <dir>
    The directory to serve notebooks and other files from. This directory will be the root of the file browser within JupyterLab.

--config <file>
    Load the configuration from a specific file path instead of the default jupyter_lab_config.py.

--debug
    Enables debug logging, providing more verbose output for troubleshooting purposes.

--ServerApp.token=<token>
    Set the authentication token required to access the JupyterLab server. This is useful for automated access or when running a headless server.

--ServerApp.password=<hashed_password>
    Set a hashed password for authentication. A hashed password can be generated using jupyter lab password or programmatically.

JupyterLab is an open-source, web-based interactive development environment (IDE) for Jupyter notebooks, code, and data.

It offers all the familiar building blocks of the classic Jupyter Notebook (notebooks, terminals, text editors, file browser, console) in a flexible and extensible user interface. Users can arrange multiple documents and activities side by side in the work area, customize the interface with themes, and install extensions to add new features. It's designed to be highly modular and extensible, allowing for deeper integration with data science workflows, educational tools, and scientific computing.

JupyterLab can be resource-intensive (memory and CPU), particularly when running many notebooks or complex computations simultaneously.

Running the server as the root user (using --allow-root) is strongly discouraged due to significant security implications.

Network configuration, especially when accessing the server remotely, requires careful consideration of IP addresses, ports, and firewall rules.

JupyterLab boasts a rich ecosystem of extensions that can add new functionalities, support new file types, or integrate with external services. These extensions can be installed using the jupyter lab extension install command. Users can also extensively customize the interface, themes, and layout to suit their preferences.

Beyond command-line arguments, JupyterLab's behavior can be configured persistently through configuration files. The primary configuration file is typically found at ~/.jupyter/jupyter_lab_config.py, which allows for advanced customization of server settings, extensions, and more.

When running JupyterLab, especially on accessible networks, it's crucial to consider security. Using tokens or passwords (--ServerApp.token, --ServerApp.password), configuring SSL, and setting appropriate IP addresses (--ip) are highly recommended to prevent unauthorized access to your server and data.

JupyterLab was developed as the ambitious successor to the classic Jupyter Notebook, aiming to provide a more flexible, extensible, and IDE-like environment.

Its development began around 2015 within Project Jupyter, with the first stable release (version 1.0) announced in 2018. It integrates various components like notebooks, terminals, text editors, and consoles into a single, cohesive user interface, designed for modern data science and scientific computing workflows.

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