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

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 library to conncet to live Jupyter Kernels through HTTP and WebSocket.

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

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

This package provides Jupyter kernels for use with the consoles of Spyder, the Scientific Python Development Environment.

These kernels can be launched either through Spyder itself or in an independent Python session, and allow for interactive or file-based execution of Python code inside Spyder.

This package provides a Jupyter Server extension providing terminals.

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 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 package provides python-pycrdt-based data structures for various documents used in the Jupyter ecosystem. Built-in documents include:

• YBlob: a generic immutable binary document.

• YUnicode: a generic UTF8-encoded text document (YFile is an alias).

• YNotebook: a Jupyter notebook document.

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 pytest plugin for testing Jupyter libraries and extensions.

A bash shell kernel for Jupyter.

Jupyter core is the base package on which Jupyter projects rely.

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.

This package provides a Jupyter Server extension with an implementation of the File ID service.

Voilà turns Jupyter notebooks into standalone web applications. Unlike the usual HTML-converted notebooks, each user connecting to the Voilà tornado application gets a dedicated Jupyter kernel which can execute the callbacks to changes in Jupyter interactive widgets.

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 Tornado websocket backend for the term.js Javascript terminal emulator library.

This package provides a Sphinx extension for deploying JupyterLite.

This package provides the IPython kernel for Jupyter.

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.