13 dépôts
Execution environments that enable running Python code within WebAssembly-based targets.
Distinct from WebAssembly: Distinct from general WebAssembly runtimes: focuses specifically on the Python language runtime implementation for WebAssembly targets.
Explore 13 awesome GitHub repositories matching programming languages & runtimes · Python Runtimes. Refine with filters or upvote what's useful.
This project is an interactive learning platform designed to help users build proficiency in Python through a structured sequence of programming challenges. It functions as an online coding exercise environment where learners can practice syntax, data structures, and algorithmic logic directly within a web browser. The platform distinguishes itself by utilizing a WebAssembly-based runtime that executes Python code locally in the client. This approach provides an immediate feedback loop for script evaluation and logic testing without requiring the installation of local software or the configur
Utilizes a WebAssembly-based Python runtime to execute code directly in the client for immediate feedback.
MicroPython is a lean implementation of Python 3 optimized to run on microcontrollers and other resource-constrained systems. It serves as a cross-platform embedded runtime and hardware abstraction layer, providing a firmware framework that maps high-level software commands to specific microcontroller registers across diverse processor architectures. The project functions as an embedded language interpreter that enables rapid prototyping on hardware through an interactive read-eval-print loop. It supports a wide range of target environments, including ARM, ESP32, STM32, RISC-V, and WebAssembl
Is a lean implementation of Python 3 optimized specifically for microcontrollers and resource-constrained systems.
RustPython is a Python 3 compatible interpreter implemented in Rust. It functions as a scripting engine that can be embedded directly into host applications, allowing for the execution of dynamic scripts and the customization of software behavior within a memory-safe environment. The project distinguishes itself through its ability to bridge Python and JavaScript runtimes, enabling data exchange and function invocation across language boundaries. It also provides a portable execution environment by compiling Python code into WebAssembly, which allows for the execution of logic directly within
Compiles Python code into portable WebAssembly binaries to enable high-performance logic execution directly within web browsers.
Wasmer is a high-performance runtime engine designed to execute sandboxed WebAssembly modules across server-side, edge, and browser environments. It functions as a comprehensive platform for building, distributing, and running isolated applications, providing a secure and portable execution layer that maintains consistency across diverse hardware architectures and operating systems. The platform distinguishes itself through a robust toolchain that enables cross-language interoperability and the transformation of code into portable binary packages. It supports ahead-of-time binary generation t
Transforms Python source code into portable WebAssembly binary modules for high-performance execution.
PyScript is a framework that enables the execution of Python code directly within a web browser. By leveraging WebAssembly, it provides a runtime environment that allows developers to perform data processing and computational logic locally, eliminating the need for a backend server to handle these tasks. The platform distinguishes itself by bridging the gap between standard web technologies and the Python runtime. It facilitates the synchronization of data and events between the browser document object model and Python scripts, while also supporting the mounting of local or remote assets into
Executes Python code directly in the browser by running a compiled language runtime within a sandboxed WebAssembly environment.
This project provides a full Python interpreter compiled to WebAssembly, enabling the execution of Python code and scientific libraries directly within web browsers and server-side environments. By bridging the gap between language runtimes, it allows developers to run computational tasks, manage packages, and perform data analysis in client-side environments without requiring a backend server. The platform distinguishes itself through a comprehensive foreign function interface that enables bidirectional data exchange, object proxying, and function calling between Python and JavaScript. It in
Runs Python code and scientific libraries directly in the browser by leveraging WebAssembly.
Espectre is an edge machine learning framework and motion detection platform that uses Wi-Fi Channel State Information to identify human presence and movement. It functions as a sensing toolkit for ESP32 microcontrollers, enabling the detection of motion through walls without the use of cameras or wearables. The project distinguishes itself by executing compact neural network classifiers and mathematical detection algorithms directly on the microcontroller. It utilizes a MicroPython runtime to allow for the prototyping and deployment of sensing logic and wireless signal processing algorithms
Utilizes a MicroPython runtime on ESP32 microcontrollers to enable rapid deployment of sensing logic.
NGINX Unit is an open-source application server designed to natively execute code across multiple programming language runtimes and WebAssembly within a single process. It serves as a multi-language application server that can run applications written in Go, Java, Node.js, Perl, PHP, Python, Ruby, and WebAssembly side by side, without requiring separate runtime environments for each language. The server distinguishes itself through a RESTful JSON control API that enables dynamic, zero-downtime configuration changes without restarting the server. It combines event-driven asynchronous I/O with
Provides a runtime adapter that runs Python WSGI or ASGI applications with virtual environment support.
JupyterLite est un environnement de notebook interactif basé sur WebAssembly qui permet le calcul dans le navigateur sans serveur backend. Il fournit un bac à sable de science des données côté client où les utilisateurs peuvent exécuter des noyaux de langages de programmation et lancer des notebooks interactifs entièrement dans le navigateur web. Le projet permet la création de distributions personnalisées en pré-installant des packages de langage spécifiques, en regroupant des wheels personnalisés et en appliquant des configurations d'environnement. Il prend en charge la génération de sites statiques pouvant être déployés sur n'importe quel hôte HTTP standard, y compris la possibilité de compresser l'environnement dans une archive pour un accès hors ligne. La plateforme couvre un large éventail de capacités, notamment la synchronisation du système de fichiers virtuel avec le stockage du navigateur, l'isolation basée sur les web-workers pour des interfaces réactives, et l'intégration de REPL interactifs dans des pages web via des iframes. Elle inclut également une suite d'utilitaires en ligne de commande pour l'automatisation de la construction de sites, la vérification de l'intégrité et la gestion de serveurs de développement locaux.
Runs Python code directly in the browser using a WebAssembly-based runtime.
CircuitPython is a specialized derivative of the MicroPython runtime designed as an embedded Python interpreter for microcontrollers. It provides a high-level language environment that allows for direct hardware access through a dedicated hardware abstraction layer and a Python microcontroller runtime. The project is distinguished by firmware that exposes the microcontroller as a native USB mass storage device. This allows users to edit code directly on the device as if it were a removable drive, eliminating the need for specialized flashing tools and enabling filesystem-triggered code reload
Implements a Python runtime specifically optimized for resource-constrained microcontroller environments.
Preswald est un framework d'application de données WebAssembly utilisé pour construire des applications de données interactives qui s'exécutent entièrement dans le navigateur en utilisant Python. Il fournit une pile de données basée sur le navigateur, incluant l'exécution SQL et Python, qui fonctionne hors ligne sans avoir besoin d'un serveur backend. Le framework inclut un bundler d'applications de données statiques pour empaqueter les flux de travail de données et les visualisations dans des fichiers uniques et partageables. Ces applications autonomes permettent la visualisation de données sans serveur et le regroupement de flux de travail de données portables pour la distribution. Le système utilise une interface de tableau de bord de données réactif qui met à jour automatiquement des éléments d'écran spécifiques en fonction des changements dans les données sous-jacentes. Il couvre la gestion d'état local-first et l'exécution SQL côté client pour maintenir la continuité opérationnelle au sein de la session de navigateur.
Uses a WebAssembly-based Python runtime to execute logic and data processing directly in the browser.
micropython-lib is the official package repository for MicroPython, providing a collection of modules and libraries designed to run on microcontrollers and other constrained devices. It implements a reduced subset of CPython's standard library, adapting familiar Python interfaces to fit within the limited memory and processing power of embedded systems. The project enables developers to reuse existing Python knowledge on MicroPython hardware by offering minimalist implementations of core modules. The library supports multiple methods for getting code onto devices, including copying single-fil
Ports and adapts Python modules to run on microcontrollers with limited memory and processing power.
Klayers is a registry of pre-built Lambda layers for common Python runtimes, published as region-specific Amazon Resource Names (ARNs) for direct attachment to serverless functions. The project eliminates per-function build steps by distributing immutable, runtime-versioned library layers as pre-packaged artifacts across AWS regions, enabling dependency injection without any build or compilation step. The service maintains a curated catalog of layer ARNs indexed by library, runtime, and AWS region, allowing developers to browse available layers and attach them to Lambda functions by referenci
Provides pre-packaged Python library layers for Lambda, covering runtimes from Python 3.8 through 3.12.