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.

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

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

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

This package provides a Qt-based console for Jupyter with support for rich media output.

This package provides a Sphinx extension for deploying JupyterLite.

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

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.

The package provides a PARI/GP kernel for Jupyter.

This package provides a Jupyter Server extension providing terminals.

This package provides the IPython kernel for Jupyter.

This package provides the IPython kernel for Jupyter.

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.

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.

xeus is a library meant to facilitate the implementation of kernels for Jupyter. It takes the burden of implementing the Jupyter Kernel protocol so developers can focus on implementing the interpreter part of the kernel.

Several Jupyter kernels are built upon xeus, such as xeus-cling, a kernel for the C++ programming language, and xeus-python, an alternative Python kernel for Jupyter.

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

This package provides a Jupyter Server extension for serving Mathjax, the JavaScript display engine for mathematics.

This project provides a way for JupyterLab and other frontends to switch to Jupyter Server for their Python Web application backend.

This package provides a Tornado websocket backend for the term.js Javascript terminal emulator library.

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

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

The Jupyter HTML notebook is a web-based notebook environment for interactive computing.

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

Jupyter Events enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events—structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.