jupyterlab

View documentation for the original command

$ tldr jupyter lab

jupyterlab [options] [path]

--allow-root
    Allow the application to be run as root.

--certfile=
    The full path to an SSL/TLS certificate file.

--ip=
    The IP address the Jupyter Notebook server will listen on.

--notebook-dir=
    The directory to use for notebooks and kernels.

--port=
    The port the Jupyter Notebook server will listen on.

--no-browser
    Do not open a browser window after startup.

--config-dir=
    The JUPYTER_CONFIG_DIR used by Jupyter application.

--help
    Show the help message.

JupyterLab is a web-based interactive development environment for notebooks, code, and data. It provides a flexible interface to work with Jupyter notebooks, text editors, terminals, and custom components. It is designed to be extensible and customizable, allowing users to create a tailored experience for data science, scientific computing, and machine learning workflows.

JupyterLab is the next-generation user interface for Project Jupyter, offering a more modular and feature-rich alternative to the classic Jupyter Notebook interface. Users can arrange multiple notebooks, terminals, and text editors in a single window. It supports numerous extensions to enhance functionality, such as real-time collaboration, debugging tools, and integration with various programming languages and libraries.

Running JupyterLab as root is generally discouraged due to security implications. Be cautious when using the `--allow-root` flag.

JupyterLab's functionality can be significantly extended through the use of extensions. These extensions can add new features, themes, and integrations with other tools. Extensions are typically installed via pip or conda, and can be managed through the JupyterLab interface or command line.

JupyterLab can be configured through command-line arguments, configuration files, and environment variables. This allows users to customize the environment to suit their specific needs and preferences. Configuration options include settings for themes, keyboard shortcuts, and extension behavior.

JupyterLab was developed as the next-generation user interface for Project Jupyter, building upon the legacy of the Jupyter Notebook.

The initial goal was to create a more modular, extensible, and feature-rich environment for interactive computing. Development started in 2016, and JupyterLab 1.0 was released in 2019. Since then, it has become the primary interface for Jupyter users, offering a more powerful and customizable environment compared to the classic Notebook interface.

The ongoing development focuses on enhanced features, such as real-time collaboration, improved debugging capabilities, and deeper integration with various scientific and data science tools. It has become a standard tool for data scientists, researchers, and educators.

jupyter-notebook(1), jupyter(1)