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.

Guix-Jupyter is a Jupyter kernel. It allows you to annotate notebooks with information about their software dependencies, such that code is executed in the right software environment. Guix-Jupyter spawns the actual kernels such as python-ipykernel on behalf of the notebook user and runs them in an isolated environment, in separate namespaces.

Documentation at https://melpa.org/#/jupyter

This package provides an Emacs interface to communicate with Jupyter kernels. It provides REPL and Org mode source code block frontends to Jupyter kernels and kernel interactions integrated with Emacs' built-in features.

JupyterHub: A multi-user server for Jupyter notebooks

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.

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.

The package provides a PARI/GP kernel for Jupyter.

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

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.

This package provides a Guile 2.x kernel for the Jupyter Notebook. It allows users to interact with the Guile REPL through Jupyter.

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

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

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.

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.

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.

Jupyter-sphinx is a Sphinx extension that executes embedded code in a Jupyter kernel, and embeds outputs of that code in the document. It has support for rich output such as images, LaTeX math and even JavaScript widgets, and supports thebelab for live code execution with minimal effort.

This package provides a terminal-based console frontend for Jupyter kernels. It also allows for console-based interaction with non-Python Jupyter kernels such as IJulia and IRKernel.

This is a Common Lisp kernel for Jupyter along with a library for building Jupyter kernels, based on Maxima-Jupyter which was based on cl-jupyter.

Documentation at https://melpa.org/#/jupyter-ascending

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

This is a Common Lisp kernel for Jupyter along with a library for building Jupyter kernels, based on Maxima-Jupyter which was based on cl-jupyter.

Jupyter telemetry library