JupyterLab Server sits between JupyterLab and Jupyter Server, and provides a set of REST API handlers and utilities that are used by JupyterLab. It is a separate project in order to accommodate creating JupyterLab-like applications from a more limited scope.

This package provides a pytest plugin for testing Jupyter libraries and extensions.

The package provides a PARI/GP kernel for Jupyter.

ipywidgets, also known as jupyter-widgets or simply widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel.

Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either Markdown files or scripts in many languages. Common use cases for Jupytext are:

• version control on Jupyter Notebooks

• editing, merging or refactoring notebooks in your favorite text editor

• applying Q&A checks on notebooks.

Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks.

This package provides a client library for executing notebooks. It was formerly known as nbconvert's ExecutePreprocessor.

The jupyterlite-core package provides the core functionality for building JupyterLite websites, the jupyter-lite CLI, and extension points for authoring custom addons.

This package provides the backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

This package provides a multi-language server WebSocket proxy for Jupyter Notebook/Lab server. It provides coding assistance for JupyterLab (code navigation, hover suggestions, linters, autocompletion, and rename) using the Language Server Protocol.

This package provides a way to register a Kernel Comm implementation, as per the Jupyter kernel protocol. It also provides a base Comm implementation and a default CommManager that can be used.

This package contains a syntax coloring theme for pygments making use of the JupyterLab CSS variables.

This package provides a hatch plugin to help build Jupyter packages.

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

repo2docker fetches a repository (from GitHub, GitLab, Zenodo, Figshare, Dataverse installations, a Git repository or a local directory) and builds a container image in which the code can be executed. The image build process is based on the configuration files found in the repository. repo2docker can be used to explore a repository locally by building and executing the constructed image of the repository, or as a means of building images that are pushed to a Docker registry.

This package provides the IPython kernel for Jupyter.

nbdime provides tools for diffing and merging of Jupyter Notebooks. It includes the following commands:

nbdiff compare notebooks in a terminal-friendly way

nbmerge three-way merge of notebooks with automatic conflict resolution

nbdiff-web rich rendered diff of notebooks

nbmerge-web web-based three-way merge tool for notebooks

nbshow present a single notebook in a terminal-friendly way

This package provides a Sphinx extension for deploying JupyterLite.

This module installs a Jupyter kernel for SPARQL. It allows sending queries to an SPARQL endpoint, fetching and presenting the results in a notebook.

This package provides a set of widgets to help facilitate reuse of large datasets across widgets.

This package opens a notebook, strips its output, and writes the outputless version to the original file.

NbClassic provides a backwards compatible Jupyter Notebook interface that you can install side-by-side with the latest versions: That way, you can fearlessly upgrade without worrying about your classic extensions and customizations breaking. Because NbClassic provides the classic interface on top of the new Jupyter Server backend, it can coexist with other frontends like JupyterLab and Notebook 7 in the same installation. NbClassic preserves the custom classic notebook experience under a new set of URL endpoints, under the namespace /nbclassic/.

Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab.

jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels for successful code execution and conformance with the Jupyter Messaging Protocol.