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    Anasayfa » Wasmer Introduces Python-to-WASM Compiler
    software

    Wasmer Introduces Python-to-WASM Compiler

    By mustafa efeAğustos 19, 2024Yorum yapılmamış3 Mins Read
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    py2wasm Uses Nuitka to Convert Python to WebAssembly, Promising 3x Faster Execution

    Wasmer Launches py2wasm: A Python-to-WebAssembly Compiler for Enhanced Performance

    Wasmer, a prominent player in the WebAssembly (WASM) runtime space, has introduced a new tool named py2wasm, which aims to convert Python programs into WebAssembly binaries. This innovative compiler, unveiled on April 18, leverages the capabilities of the Nuitka Python compiler to significantly improve the execution speed of Python code in a WebAssembly environment.

    The core idea behind py2wasm is to address the performance limitations typically encountered when running Python programs in WebAssembly. Traditionally, Python’s execution in WebAssembly has been constrained by interpreter overhead and suboptimal performance. Wasmer’s CEO, Syrus Akbary, highlighted in a blog post that py2wasm manages to achieve around 70% of native Python speed, which represents a substantial improvement over the standard Python interpreter. The new tool is reported to deliver performance gains of approximately 2.5x to 3x compared to running Python in an interpreter, making it a compelling option for developers looking to boost their Python applications’ efficiency.

     

     

    The decision to use Nuitka as the foundation for py2wasm was strategic. Nuitka is a Python compiler that translates Python code into C, which is then compiled into machine code. This approach benefits from Nuitka’s existing ability to convert Python code into CPython interpreter calls efficiently. By utilizing Nuitka, py2wasm can bypass the need for a traditional Python interpreter at runtime, thereby reducing overhead and improving performance.

    However, integrating Nuitka with WebAssembly required some adjustments. Nuitka’s current version does not support Python 3.12, so Wasmer had to recompile Python to version 3.11 for compatibility with the WebAssembly Systems Interface (WASI). This involved using the generated libpython.a archive to enable Nuitka to target WASI and WebAssembly environments effectively. Additionally, challenges arose due to the differences in architecture: Nuitka was designed for 64-bit architecture, while the generated code ran in a 32-bit environment. Addressing these architectural discrepancies required significant modifications to ensure compatibility and performance.

    Despite these hurdles, py2wasm represents a significant advancement for Python developers seeking to leverage WebAssembly. By converting Python code to a format that can be executed directly by WebAssembly, py2wasm opens up new possibilities for deploying Python applications in a variety of environments where performance and portability are crucial.

    In conclusion, Wasmer’s py2wasm offers a powerful tool for enhancing Python performance in WebAssembly contexts. Through its use of Nuitka and careful handling of compatibility issues, py2wasm provides a means to run Python programs with notable efficiency improvements. As the adoption of WebAssembly continues to grow, tools like py2wasm will play a key role in expanding the capabilities and performance of applications across different platforms.

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