Awesome GitHub RepositoriesExecution Kernels

IPython is an interactive computing environment and programmable extension of the Python read-eval-print loop. It serves as a development tool for writing, testing, and executing code in a live environment designed for rapid prototyping and data exploration. The system differentiates itself through a specialized set of magic commands for environment configuration and system shell integration. It features an object introspection engine for analyzing live program objects at runtime and a frontend-agnostic kernel that allows the execution logic to be embedded into other applications or graphical

This project is a browser-based interactive computing environment and data science IDE. It serves as a literate programming tool that allows users to create documents combining live code, mathematical equations, visualizations, and narrative text. As a polyglot notebook interface, it connects to various language kernels to execute code and render output within a single interface. The application distinguishes itself by separating the frontend interface from a remote compute engine through a language-agnostic kernel interface. This allows it to support multiple programming languages while main

Voilà is a tool that converts Jupyter notebooks into standalone interactive web applications. It renders notebook cells as HTML web components, preserving live widgets while stripping source code by default, and gives each viewer a dedicated Jupyter kernel for isolated widget state and callback execution. The project runs as a Jupyter server extension, reusing existing server infrastructure for notebook serving and authentication. It supports directory-based notebook hosting, serving all notebooks in a folder as a browsable collection of web applications from a single command. Voilà also prov

Mercury est un framework pour transformer des notebooks Jupyter en applications web interactives, une API d'exécution de notebooks et un générateur de sites statiques. Il fonctionne comme un serveur d'applications auto-hébergé qui permet aux utilisateurs de déployer des notebooks protégés par mot de passe en tant qu'interfaces utilisateur fonctionnelles sans écrire de code frontend. Le système se distingue en mappant les widgets de notebook à une interface web réactive et en synchronisant les sessions d'application en direct entre plusieurs utilisateurs en temps réel. Il permet l'exécution à distance de notebooks via une API pour récupérer les résultats de calcul sous forme de données structurées et prend en charge la conversion de notebooks en présentations interactives ou en interfaces de chat. La plateforme couvre un large éventail de capacités, y compris la création de tableaux de bord interactifs, la génération automatisée de rapports aux formats PDF et HTML, et la possibilité d'intégrer des notebooks exécutés dans des sites web externes. Le branding et la mise en page de l'application sont gérés via des fichiers de configuration externes. Les options de déploiement incluent des services cloud gérés et une infrastructure privée auto-hébergée utilisant des conteneurs Docker.

Rodeo is an interactive Python notebook environment and integrated development environment designed for data science. It provides a workspace for combining executable code, rich text, and data visualizations within a single document to manage the lifecycle of research scripts. The platform facilitates data science workflow management, covering the process from initial data exploration to final model execution. It supports the development of Python scripting environments tailored for data analysis, modeling, and iterative hypothesis testing. The system utilizes a cell-based document structure