indygreg/PyOxidizer
PyOxidizer
PyOxidizer es un empaquetador de aplicaciones Python e incrustador de intérpretes diseñado para compilar código Python y dependencias en un único binario ejecutable independiente. Funciona como una herramienta de distribución que permite que las aplicaciones se ejecuten en máquinas de destino sin un intérprete preinstalado.
El proyecto sirve como un puente entre Rust y Python, proporcionando un framework para integrar ambos lenguajes para crear librerías enlazables o reemplazar lógica incrementalmente. Facilita la incrustación de un runtime de Python en aplicaciones más grandes para ejecutar scripts o proporcionar lógica basada en Python.
El conjunto de herramientas cubre el empaquetado de aplicaciones Python, flujos de trabajo de distribución y la integración de runtimes de Python incrustados.
Features
- Python Application Packagers - Compiles Python code and dependencies into a single executable binary that runs without a pre-installed interpreter.
- Language Integration Frameworks - Connects Rust and Python by embedding an interpreter or bootstrapping a project to replace logic incrementally.
- Integrated Python Runtimes - Integrates a Python runtime into Rust or C applications to execute scripts.
- Embedded Interpreters - Executes Python scripts or link Python logic inside a larger application by embedding a runtime environment.
- Runtime Embedding - Packages the Python interpreter and its standard library directly into a single executable file for standalone distribution.
- Python Runtimes - Integrates a Python interpreter into a larger application to execute scripts or provide Python-based logic.
- Foreign Function Interfaces - Links Rust and Python by embedding the CPython API to allow direct memory and function calls between languages.
- Language Bridge Frameworks - Combines Rust and Python to create linkable libraries or replace logic gradually.
- Language Interoperability Bridges - Bridges Rust and Python by embedding an interpreter or bootstrapping a project to mix and migrate logic.
- Cross-Compilation Toolchains - Interfaces with system linkers and compilers to produce native binaries for multiple target operating systems and architectures.
- Build-Time Bundles - Aggregates source code and dependencies into a binary blob during the build process to eliminate runtime file lookups.
- Single-Binary Distributions - Distributes Python applications as a single executable file without requiring a pre-installed interpreter.
- Python Distribution Packaging - Packages and delivers Python applications as standalone binaries to simplify installation and deployment.
- Interpreter Redirects - Initializes the Python runtime with a specialized configuration that redirects module imports to internal memory locations.
- In-Memory Loading - Loads Python modules from memory-mapped data buffers rather than reading files from a traditional disk-based filesystem.
