The Pyodide project aims to compile the scientific Python stack to WebAssembly, so that it can be run directly in the browser. It currently supports data science libraries such as NumPy, Pandas, matplotlib (and more planned in the future). In this talk we will outline the current capabilities, existing challenges, and possible future development directions.

Pyodide is closely related to the Iodide project, which implements a notebook environment (including but not limited to Pyodide) that allows performing calculations in the client-only mode (without sending requests to a server).