indygreg/PyOxidizer
PyOxidizer
PyOxidizer is a Python application packager and interpreter embedder designed to compile Python code and dependencies into a single standalone executable binary. It functions as a distribution tool that allows applications to run on target machines without a pre-installed interpreter.
The project serves as a bridge between Rust and Python, providing a framework to integrate the two languages for creating linkable libraries or incrementally replacing logic. It facilitates the embedding of a Python runtime into larger applications to execute scripts or provide Python-based logic.
The toolset covers Python application packaging, distribution workflows, and the integration of embedded Python runtimes.
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.
