22 repositorios
Resources for developing applications using the Python language.
Explore 22 awesome GitHub repositories matching programming languages & runtimes · Python. Refine with filters or upvote what's useful.
This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr
Groups an extensive selection of machine learning tools and libraries built for the Python ecosystem.
This project is a comprehensive collection of software design patterns implemented in Python. It serves as a reference for architectural, behavioral, creational, and structural patterns to guide the organization of Python applications. The collection covers behavioral strategies for managing object communication and state, creational techniques for controlling object instantiation, and structural methods for composing classes and objects into flexible hierarchies. It also includes architectural references for system-wide structuring, such as multi-tier architectures and blackboard models. Th
Implements behavioral design patterns using Python-specific idioms like observers and state machines.
Anki is a cross-platform study application and spaced repetition flashcard software designed for memorizing information. It functions as a memory tool that implements spaced repetition systems to optimize long-term learning and recall. The software facilitates flashcard-based studying and personal knowledge management by organizing facts and concepts into scheduled reviews. It uses a timed review system to ensure information is retained in long-term memory through active recall. The application includes capabilities for managing digital decks of questions and answers, utilizing a mathematica
Uses the Python language for the core backend logic to ensure consistent scheduling across platforms.
Distroless provides a collection of security-hardened, minimal base container images designed to reduce attack surfaces by excluding non-essential system utilities, package managers, and shells. These images are constructed to contain only an application and its specific runtime dependencies, enforcing the principle of least privilege by configuring environments for non-root execution. The project distinguishes itself through a focus on supply chain integrity and reproducible builds. It utilizes declarative build configurations to track package versions and validates container image integrity
Provides language-specific runtime environments packaged into minimal, secure container images.
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
Provides a full Python 3 compatible interpreter implementation designed for embedding and cross-platform execution.
Codon is an LLVM-based Python compiler and statically typed implementation that translates source code into optimized machine instructions. It functions as a high-performance numerical backend and a GPU computing framework designed to remove runtime overhead. The project implements a compiled alternative to NumPy, translating array logic directly into machine code. It differentiates itself by generating specialized hardware kernels for graphics processors and utilizing static type inference to enable aggressive machine-code optimization. The system provides capabilities for parallel workload
Translates Python source code into optimized machine code to bypass interpreted execution overhead.
PySnooper is a diagnostic library for Python that tracks variable values and execution flow to provide a detailed history of program state. By applying decorators to functions, generators, or classes, it logs line-by-line execution and state changes without requiring manual print statements. The tool distinguishes itself through its ability to monitor nested function calls and concurrent operations in multi-threaded applications. It captures execution context by accessing the current stack frame, allowing for the inspection of local variables and the evaluation of arbitrary expressions during
Traces line-by-line execution and variable state changes in Python functions to identify logic errors without manual print statements.
This project provides a framework for binding Rust and Python, enabling the creation of native extension modules and the embedding of the Python interpreter within host applications. It functions as a cross-language interoperability library that facilitates the execution of scripts, the definition of classes, and the sharing of data structures across the boundary of the two runtimes. The framework distinguishes itself through the use of procedural macros to automate the generation of boilerplate code, simplifying the process of exposing native functions and data types. It employs type-level m
Executes foreign functions and accesses objects by managing cross-language memory references.
Nuitka is a compilation framework that translates Python source code into C, enabling the creation of standalone machine code binaries. By converting interpreted scripts into compiled executables, it removes the requirement for a language interpreter on the target machine and provides a mechanism for distributing Python applications as self-contained packages. The project distinguishes itself through advanced optimization techniques, including link-time code generation and profile-guided binary optimization, which improve execution speed by bypassing standard interpreted overhead. It manages
Translates source code into compiled binaries to improve execution speed and bypass the overhead of standard interpreted execution.
qutebrowser is a keyboard-driven web browser built on the Qt framework and the Chromium-based rendering engine. It provides a minimalist interface that prioritizes content visibility by removing traditional toolbars and visual clutter, relying instead on a command-line interaction model for navigation and browser control. The browser is designed for users who prefer to manage web tasks through rapid keystrokes rather than mouse-based graphical interfaces. It includes an integrated document viewer that renders PDF files directly within the application window, removing the need for external sof
Uses a Python-based logic layer to enable deep extensibility and configuration of browser components.
Numba es un compilador just-in-time que traduce funciones de Python de alto nivel a código máquina optimizado en tiempo de ejecución. Al aprovechar la infraestructura del compilador LLVM, proporciona un marco para acelerar el procesamiento de datos numéricos y los cálculos matemáticos, permitiendo niveles de rendimiento comparables a los lenguajes compilados estáticamente. El proyecto se distingue por su capacidad para realizar especialización basada en inferencia de tipos, lo que genera instrucciones de máquina adaptadas a los tipos de datos específicos utilizados durante la ejecución. Emplea una tubería de compilación perezosa que difiere la traducción hasta el momento de la invocación, minimizando la sobrecarga de inicio mientras mantiene un rendimiento consistente en diversas arquitecturas de procesador y sistemas operativos. Más allá de la compilación central, el kit de herramientas proporciona un amplio soporte para la aceleración de hardware mediante la distribución de operaciones iterativas y expresiones de matriz a través de múltiples núcleos de CPU y unidades de procesamiento gráfico. Utiliza estrategias de vectorización y paralelización para maximizar el rendimiento de grandes conjuntos de datos numéricos, permitiendo a los desarrolladores apuntar a hardware especializado directamente desde código estándar.
Translates high-level mathematical functions into machine code at runtime to achieve native-like execution speeds.
Cython is a compiler that translates Python code into C or C++ to create high-performance extension modules. It functions as a static typing optimizer and a C extension generator, allowing developers to declare C types within Python code to reduce interpreter overhead and increase execution speed. The project enables the wrapping of external C libraries to provide high-level interfaces to low-level system capabilities. It also serves as a native binary packager, capable of freezing scripts and their dependencies into standalone executable binaries for distribution. The system covers a broad
Converts Python code into C extensions to increase execution speed and reduce runtime overhead for compute-intensive tasks.
Foundry is an Ethereum smart contract development toolkit and blockchain simulator designed for compiling, testing, and deploying contracts for the Ethereum Virtual Machine. It provides a local environment for simulating blockchain state and forking live networks to execute code without modifying the actual chain. The project features a property-based fuzzing engine to identify edge-case failures in contract logic and a transaction debugger for analyzing detailed execution traces and gas consumption. It enables developers to mirror the state of a remote chain locally to test against real-worl
Offers a detailed transaction debugger for analyzing bytecode execution traces and gas usage.
ChakraCore is an embeddable JavaScript engine and high-performance scripting runtime. It provides a just-in-time compiler that converts JavaScript source code into optimized machine code during runtime to increase execution speed and throughput. The engine utilizes a multi-tiered compilation pipeline and tiered machine code generation to balance startup time with execution speed. Memory is managed via a concurrent garbage collector that reclaims unreachable objects on background threads to minimize application pauses. The project provides capabilities for embedded JavaScript execution and au
Optimizes execution speed by translating JavaScript source into high-performance machine code via JIT.
Hardhat is a smart contract development framework and EVM tooling suite designed for the full lifecycle of Ethereum and EVM-compatible applications. It serves as a development environment for compiling, testing, and deploying smart contracts, providing a local blockchain simulation and a programmable task runner. The framework is distinguished by its extensive simulation capabilities, including the ability to fork remote network state and manipulate block time or account balances. It features a hook-based plugin system that allows for the extension of core functionality and the creation of cu
Uses cheatcodes to control the execution environment by changing the sender address or modifying blockchain state.
Bandit is a static analysis security testing tool and vulnerability detection scanner for Python source code. It functions as a security-focused linter and static analyzer that identifies common vulnerabilities and architectural flaws without executing the program. The tool utilizes an abstract syntax tree to analyze code patterns and identifies risky function calls or insecure configurations. It employs a plugin-based rule engine to decouple scanning logic from individual security checks and supports configuration-driven filtering to exclude specific files or ignore certain warnings. The sy
Identifies risky function calls and insecure configurations in Python projects to prevent exploits.
VizTracer is a Python runtime instrumentation system and execution profiler used to trace and visualize code execution. It functions as a multi-process performance analyzer and trace visualizer, providing an interactive timeline and flamegraph interface to identify performance bottlenecks and analyze call sequences. The project distinguishes itself by its ability to aggregate execution data from multiple threads, subprocesses, and asynchronous tasks into a single unified report. It also features live process instrumentation, allowing users to attach to and detach from running Python applicati
Injects tracing and variable tracking into live Python processes without requiring application restarts.
Persepolis is a Python-based download manager and graphical user interface for the aria2 engine. It functions as a concurrent file downloader that splits files into multiple chunks to be retrieved simultaneously, maximizing available network bandwidth. The application integrates a media extraction engine to resolve direct URLs, enabling the retrieval of video and audio content from various online streaming platforms and hosting services. It provides tools for download queue management and automation, including the ability to schedule specific start times or define time windows for downloads
Implemented as a desktop application using the Python language.
Universal Ctags is a multi-language symbol indexer and regex-based parsing engine used to extract and catalog functions, classes, and variables from source code. It functions as a source code indexer that scans files across diverse programming languages to create searchable catalogs of definitions and declarations. The project is distinguished by its extensible parser framework, which allows users to define new language rules using regular expressions and configuration files. It supports complex parsing scenarios through state-based parsing, stack-oriented scope tracking, and guest-parser del
Extracts definitions, function parameters, and local variables from Python source files.
Web3j es una biblioteca de Java y Android diseñada para integrar aplicaciones con clientes de blockchain de Ethereum. Proporciona un cliente JSON-RPC para leer datos de la cadena y enviar transacciones, un generador de wrappers de contratos inteligentes que crea código Java nativo a partir de definiciones de contratos, y un gestor de billetera programático para manejar claves criptográficas y firmar transacciones. El proyecto se distingue por un sistema de generación de wrappers basado en plantillas que permite una interacción segura con tipos con contratos on-chain. También incluye un conjunto de herramientas dedicado para traducir nombres de dominio legibles por humanos en direcciones criptográficas mediante resolución de servicios de nombres. La biblioteca cubre una amplia gama de capacidades, incluyendo ejecución asíncrona para consultas de blockchain, gestión de claves criptográficas y depuración de ejecución de máquinas virtuales para analizar el comportamiento de los contratos. Además, proporciona un modelo de conexión basado en proveedores para abstraer el transporte de red y herramientas de línea de comandos para el arranque de proyectos.
Includes a debugger to inspect EVM operations and analyze contract behavior or transaction failures.