Anaconda’s Strategic Investment in PyScript, Pyodide, and MicroPython for WebAssembly

Six months ago, the well‑known Python distribution vendor Anaconda introduced PyScript, a framework that enables creating Python applications that run directly in the browser. PyScript is built on Pyodide, which packages a WebAssembly‑compiled CPython 3.8 interpreter and allows any PyPI package to be installed, while also exposing an external function interface for Python‑JavaScript interop and DOM access.

Anaconda states that to make PyScript successful they must strategically invest in the project and its core dependencies, notably WebAssembly (Wasm) and the open‑source Pyodide runtime.

In line with this goal, Anaconda has been improving PyScript’s technical foundation for the past half‑year and recently announced its membership in the Bytecode Alliance, a consortium formed by Mozilla, Fastly, Intel, and Red Hat to advance WebAssembly standardization and promote the WebAssembly System Interface (WASI) for safe access to files, network, and memory.

Anaconda believes Wasm is crucial for PyScript, and WASI plays an equally vital role in Python runtimes, enabling data‑science workloads to run anywhere—locally, in the browser, or in the cloud—highlighting portability as the future of computing.

Beyond joining the Bytecode Alliance, Anaconda is actively supporting core open‑source projects that PyScript depends on, especially Pyodide, contributing code upstream and backing ongoing development, emphasizing that “Pyodide’s success is PyScript’s success” and that Pyodide will remain the default runtime for the foreseeable future.

While betting on Pyodide, Anaconda is also experimenting with new runtimes. They recently showcased a MicroPython‑based PyScript tech preview, available at https://pyscript.net/tech‑preview/micropython/.

According to Anaconda, MicroPython is well‑suited for constrained environments lacking an operating system; when compiled to Wasm with default settings, the new runtime totals only 303 KB, loads instantly, and starts executing MicroPython logic in under 100 ms.

Anaconda sees MicroPython as an important complement to PyScript, especially for scenarios where loading performance is critical, noting that PyScript’s configurable runtime architecture lets developers choose the most appropriate solution for their use case.