Mozilla To Bring Python To Browsers

An anonymous reader quotes a report from VentureBeat: In a step toward its goal of building out a data science development stack for web browsers, Mozilla today detailed Pyodide, an experimental Python project that's designed to perform computation without the need for a remote kernel (i.e., a program that runs and inspects code). As staff data engineer Mike Droettboom explained in a blog post, it's a standard Python interpreter that runs entirely in the browser. And while Pyodide isn't exactly novel -- projects like Transcrypt, Brython, Skulpt, and PyPyJs are among several efforts to bring Python to browsers -- it doesn't require a rewrite of popular scientific computing tools (like NumPy, Pandas, Scipy, and Matplotlib) to achieve adequate performance, and its ability to convert built-in data types enables interactions among browser APIs and other JavaScript libraries.

Pyodide is built on WebAssembly, a low-level programming language that runs with near-native performance, and emscripten (specifically a build of Python for emscripten dubbed 'cpython-emscripten'), which comprises a compiler from C and C++ to WebAssembly and a compatibility layer. Emscripten additionally provides a virtual file system (written in JavaScript) that the Python interpreter can use, in which files disappear when the browser tab is closed. To use Pyodide, you'll need the compiled Python interpreter as WebAssembly, JavaScript from emscripten (which provides the system emulation), and a packaged file system containing the files required by the Python interpreter. Once all three components are downloaded, they'll be stored in your browser's cache, obviating the need to download them again. The report notes that 'the Python interpreter inside the JavaScript virtual machine runs between one to 12 times slower in Firefox and up to 16 times slower on Chrome.'

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