Jupyter Lab

A web-based interactive development environment for creating and sharing documents with live code, equations, and visualizations.

Jupyter Lab is an open-source web-based interactive development environment (IDE) for data scientists and researchers. It provides a flexible and powerful environment for working with code, data, and visualizations.

Notebook Interface: Jupyter Lab offers a notebook interface that allows you to create and execute code cells, write documentation, and display visualizations. It supports multiple programming languages, including Python, R, Julia, and more.
Flexible Layout: Jupyter Lab provides a flexible and customizable layout that allows you to arrange your workspaces, notebooks, and code editors in a way that suits your workflow. You can split and merge panels, create tabbed workspaces, and arrange your components to optimize your productivity.
Rich Output: Jupyter Lab supports rich output formats, including interactive visualizations, images, videos, and more. You can create interactive plots, embed multimedia content, and generate dynamic reports directly in your notebooks.
Extension Ecosystem: Jupyter Lab has a thriving ecosystem of extensions that enhance its capabilities. You can install extensions to add new functionality, such as code formatting, debugging, version control integration, and more. The extension manager makes it easy to discover, install, and manage extensions.
Collaboration: Jupyter Lab supports collaboration features that allow multiple users to work on the same notebook simultaneously. You can share your notebooks with others, collaborate in real-time, and track changes made by different contributors.
Integration with Data Science Libraries: Jupyter Lab seamlessly integrates with popular data science libraries and tools, such as NumPy, pandas, Matplotlib, and scikit-learn. You can easily import these libraries and leverage their functionality in your notebooks.
Kernel Support: Jupyter Lab supports multiple kernels, which are the computational engines that execute your code. You can switch between different kernels to work with different programming languages or environments.
File Browser and Terminal: Jupyter Lab provides a file browser that allows you to navigate and manage your files and directories. It also has a built-in terminal that enables you to run command-line operations directly from the IDE.