This package is an add-on to ColorTypes.jl and provides fast mathematical operations for objects with types such as RGB and Gray. Specifically, with this package both grayscale and RGB colors are treated as if they are points in a normed vector space.

This package provides Data types and methods for common operations with biological sequences, including DNA, RNA, and amino acid sequences.

This package provides a lightweight string parsing and representation of angles.

This package provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy).

This package provides a convenient function form of the conditional ifelse. It is similar to Core.ifelse but it is extendable.

This package provides tools for transcoding data streams which are:

• fast: small overhead and specialized methods

• consistent: basic I/O operations work as expected

• generic: support any I/O objects like files, buffers, pipes, etc.

• extensible: easy definition for new codec to transcode data

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.

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

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

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

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

This package provides a Model Context Protocol server for jupyter, bridging LLMs and Jupyter Notebooks.

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

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 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 package provides a PARI/GP kernel for Jupyter.

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

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

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 Jupyter Server extension for serving Mathjax, the JavaScript display engine for mathematics.

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

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

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