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Jupyter Blog

Mehmet Bektas
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Sep 22, 2021

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2 min read
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JUPYTERLAB DESKTOP APP NOW AVAILABLE!

We are pleased to announce the release of desktop application for JupyterLab!


STANDALONE AND SELF-CONTAINED

JupyterLab App is the cross-platform standalone application distribution of
JupyterLab. It is a self-contained desktop application which bundles a Python
environment with several popular Python libraries ready to use in scientific
computing and data science workflows.


JupyterLab App running on macOS


CROSS-PLATFORM

JupyterLab App works on Debian and Fedora based Linux, macOS and Windows
operating systems. One-click installers are available for each platform.

You can download the installers from the project’s GitHub page.


One-click installer on macOS


BUILT-IN PYTHON ENVIRONMENT

JupyterLab App is based on Electron and it runs the front-end of JupyterLab
inside an embedded browser. The backend of the JupyterLab along with Python
libraries are provided via a bundled conda Python environment. Libraries
included in the environment are numpy, scipy, pandas, ipywidgets and matplotlib.


THIS IS JUST THE RE-START

This release updates and modernizes the JupyterLab App after couple of years
from the initial release and forms a new baseline for the new features to be
built-on. Follow the project on GitHub and Jupyter Blog for updates.

We are looking forward to user feedback from the community to define project’s
roadmap. Please provide your valuable input using project’s GitHub issues or by
other available channels.


ABOUT THE AUTHOR

Mehmet Bektas is a Senior Software Engineer at Netflix and a Jupyter Core
Developer. He maintains and contributes to JupyterLab, JupyterLab Desktop and
several other projects in the Jupyter eco-system.

Jupyter
Jupyterlab
Data Science
Scientific Computing
Python


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Senior Software Engineer at Netflix. Jupyter Distinguished Contributor.

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