The library is built on NumPy, SciPy, and Matplotlib libraries. In addition, it includes many utility functions for data preprocessing, feature selection, model evaluation, and input/output.

The code is on GitHub and he also links to the generators available in SciPy. We’ve seen SciPy in some Hackaday contest entries before. You can think of it like Matlab for Python.

Pyodide is a WebAssembly implementation of Python’s Numpy scientific computing library, the Pandas data analysis library, and parts of the SciPy library for math, science, and engineering.