![]() So in short, JupyterLab is the browser-based IDE, while Jupyter Notebook is the Notebook component inside it. ![]() On the other hand, Jupyter Notebook is a REPL-like environment that fuses code, data, and documentation. However, I’ll focus solely on Python in this article. JupyterLab supports over 40 other programming languages, like Java, Scala, Julia, and R. It’s also extensible: everyone can write plugins that add new components and integrate with existing ones. JupyterLab is flexible: you can configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. In addition, it allows you to open a Python terminal, as most IDEs do, to experiment and tinker. It’s most well known for offering a so-called notebook called Jupyter Notebook, but you can also use it to create and edit other files, like code, text files, and markdown files. JupyterLab is a web-based, interactive development environment. How to install Jupyter Notebook and Lab.Advantages of using Jupyter Lab and Notebook.
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