What is the difference between Jupyter Notebook and JupyterLab?

If you’re familiar with Jupyter Notebook, you might be wondering what JupyterLab is and how it differs from the well-known notebook interface. In this blog post, we’ll explore the key differences between these two popular options for working with data in Python.

Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents. It provides an integrated development environment (IDE) for data scientists, combining code, text, and rich media in a single document.

JupyterLab is the next-generation user interface for Project Jupyter. It offers all of the features of the classic Jupyter Notebook while providing a more robust, flexible, and extensible experience.

Here are some of the key differences between Jupyter Notebook and JupyterLab:

  • JupyterLab has a more modern user interface than Jupyter Notebook.
  • JupyterLab allows you to work with multiple notebooks at once, whereas Jupyter Notebook only allows you to work with one notebook at a time.
  • JupyterLab enables you to customize your own keyboard shortcuts, whereas in Jupyter Notebook you have to use predefined keyboard shortcuts.
  • JupyterLab supports hundreds of different file formats, whereas Jupyter Notebook only supports a few file formats.
  • JupyterLab is extensible, meaning that it can be used to create custom plugins or integrations.
  • JupyerNotebook is not extensible.

Conclusion: Both JupyerNotebook and Juypterlab have their pros and cons, but ultimately it comes down to personal preference. If you’re looking for a more modern user interface or greater flexibility and customization options, then Juypterlab is probably the better option for you. However, if you’re looking for a simpler interface or one that supports fewer file formats, then stick with Juypternoteook.

Andy Avery

I really enjoy helping people with their tech problems to make life easier, ​and that’s what I’ve been doing professionally for the past decade.

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