This package provides a canonical set of default initial values and identity elements for Julia.

This package provides support for image resizing, image rotation, and other spatial transformations of arrays.

The Tables.jl package provides simple, yet powerful interface functions for working with all kinds tabular data.

This package provides various examples.

This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them.

This package make loading packages faster, maybe. It supports specifying glue code in packages which will load automatically when another package is loaded, so that explicit dependencies (and long load times) can be avoided.

This package contains generic helper algorithms for building plotting components.

ImageMetadata is a simple package providing utilities for working with images that have metadata attached. For example, you might want to associate an image with the date on which the picture was taken, or an MRI scan with patient data, or an astronomical image with sky coordinates and information about the detector used to acquire the image.

libwhich is like which, but for dynamic libraries. It is also a bit like ldd and otool -L.

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

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.

A bash shell kernel for Jupyter.

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.

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

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

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 hatch plugin to help build Jupyter packages.

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.

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 pytest plugin for testing Jupyter libraries and extensions.

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

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