This package provides a Python library to interact with a live Jupyter Notebooks.

The package provides a PARI/GP kernel for Jupyter.

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

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

This package provides a Jupyter Server extension integrating collaborative shared models.

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.

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

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.

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

A bash shell kernel for Jupyter.

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

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

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

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/.

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

This package provides a Sphinx extension for deploying JupyterLite.

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

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.

The jupyter_client package contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels, and the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

The jupyter_client package contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels, and the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

This package provides a library to conncet to live Jupyter Kernels through HTTP and WebSocket.

GNU Kawa is an implementation of the Scheme programming language that is built on top of the Java platform. It is thus conveniently integrated with Java and benefits from this by having a compiler, optional static typing, and so on. Kawa also serves as a framework for implementing other programming languages on the Java platform. Included in Kawa is qexo, a partial implementation of XQuery in Java.