This package provides tools to help build and install Jupyter Python packages that require a pre-build step that may include JavaScript build steps.

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

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

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.

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

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.

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

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 a Jupyter Server extension providing terminals.

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

This package provides the IPython kernel for Jupyter.

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

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

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.

A bash shell kernel for Jupyter.

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

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

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

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

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

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 client library for executing notebooks. It was formerly known as nbconvert's ExecutePreprocessor.

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