Jupyter Package Manager

Package Manager is a JupyterLab extension that simplifies managing Python packages directly within your notebooks. With this extension, you can list, filter, install, and remove packages from pip - all without leaving your JupyterLab environment.

Features

List packages

List all packages installed for the currently open notebook.

Filtering packages by name

Quickly search and filter through packages by name.

Install a new package

Install any new package you need directly from the notebook interface.

During installation, you have access to logs, including output and error messages, which helps with debugging and troubleshooting.

Remove package

Easily remove packages that are no longer needed in your current environment, with an additional confirmation step to prevent accidental removal of required packages.

Change PyPI Server

You can easily switch the PyPI server to your own private repository.

This helps with secure package management and better control over installed packages.

You can also quickly switch back to the official PyPI server at any time — it only takes a moment.

Dark theme

Enjoy a dark mode experience for more comfortable viewing in low-light environments.

Install extension

It can also be installed with Python >= 3.9 and JupyterLab >= 4.2.0. To install the extension, execute:

pip install jupyter_package_manager

The extenstion is by default available in MLJAR Studio - a desktop app for creating Python notebooks.

Uninstall extension

To remove the extension, execute:

pip uninstall jupyter_package_manager

Contributing

Development install

Note: Building from source requires Node.js 22.12.0 or newer for the patched build dependencies. Installing a prebuilt Python wheel does not require Node.js.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the package_manager directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

pip uninstall jupyter_package_manager

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyter-package-manager within that folder.

Shared kernel data

Variables Explorer optionally shares package information with other MLJAR extensions. Package Manager also works on its own; Variables Explorer is not required.