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JupyterLab Error – JupyterLab application assets not found

How to solve JupyterLab Error – JupyterLab application assets not found in “/opt/homebrew/Cellar/python@3.11/3.11.6/Frameworks/Python.framework/Versions/3.11/share/jupyter/lab”

There are two solutions to solve the JupyterLab application assets not found issue first, build the Jupyter lab, and second change app-dir to point to the right application directory. Let’s look at these two solutions in detail.

Solution 1: Rebuild Assets & Extensions

Since you are getting JupyterLab application assets not found, you can build Jupyter Lab to find the assets. Running a build is typically necessary after installing new extensions or making changes to your JupyterLab configuration. It ensures that the environment is up to date and that any modifications you’ve made are reflected in the application.

JupyterLab application assets not found

The build command is used to build or rebuild the assets and extensions of JupyterLab. When you run jupyter lab build, it performs the following tasks:

Keep in mind that depending on your configuration, building JupyterLab can be a resource-intensive task, especially if you have a large number of extensions. It may take some time to complete, so be patient while it compiles and bundles the necessary assets. After the build is complete, you can run jupyter lab to start the JupyterLab environment with the updated assets and extensions.

Solution 2: Change Application Directory

You can also solve JupyterLab application assets not found by changing the application directory. The command jupyter lab --app-dir /opt/homebrew/share/jupyter/lab is used to launch JupyterLab with a specified application directory.


jupyter lab --app-dir /opt/homebrew/share/jupyter/lab

Explanation of this command:

Keep in mind that the exact path to the application directory may vary depending on your system and how JupyterLab was installed. The --app-dir option is typically used when you want to manage JupyterLab configurations and extensions in a non-standard location.

Conclusion

Setting up Jupyter Lab is the first step to working on machine learning projects however, sometimes you get issues while running Jupyter Lab and these issues take more time to resolve. I have come across this JupyterLab application assets not found issues while running Jupyter Lab hence I thought documenting this would help others.

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