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RustPython - 用Rust编写的Python 3解释器
RustPython is a Python 3 interpreter written in Rust. It supports a wide range of Python features and aims for compatibility with CPython.
Rust
Added on 2025年6月24日20,195
Stars1,321
ForksRust
LanguageProject Introduction
Summary
RustPython is an open-source project implementing the Python 3 language specification using the Rust programming language. It functions as a standalone interpreter, a library for embedding Python, and a platform for exploring alternative interpreter designs.
Problem Solved
While CPython is the standard, building a Python interpreter in Rust offers benefits like improved performance for certain tasks, memory safety, easier embedding into native applications (especially Rust), and potential for novel concurrency models compared to CPython's GIL.
Core Features
High Python 3 Compatibility
Supports a significant portion of the Python 3 language features and standard library modules.
Embeddable Interpreter
Designed with embedding in mind, allowing Python code to be easily integrated into Rust applications.
GIL-Free and Memory Safe
Utilizes Rust's memory safety guarantees and potential for concurrency without a Global Interpreter Lock (GIL).
Interop with Rust
Provides mechanisms for calling Rust code from Python and Python code from Rust.
Tech Stack
Rust
Python
使用场景
RustPython can be used in various scenarios where a flexible, embeddable, or alternative Python runtime is needed, leveraging the strengths of Rust.
场景一：在Rust应用中嵌入Python
Details
Integrate RustPython into a Rust application to add scripting capabilities, allowing users to extend functionality or define behavior using Python.
User Value
Adds flexibility and extensibility to Rust applications without external process dependencies or complex C/Python bindings.
场景二：作为独立Python解释器运行
Details
Use RustPython as a standalone interpreter, especially in environments where Rust's compilation and deployment model is preferred or where exploring a non-CPython runtime is beneficial.
User Value
Provides an alternative, potentially more performant or embeddable, Python execution environment.
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