To ensure GraalPy is compatible with common Python packages, the GraalPy team conducts compatibility testing to verify the presence and correct functioning of the top 500 packages on PyPI plus some more that are of special interest to us, including libraries and frameworks such as NumPy, Pandas, and Django.

Compatibility testing ensures that developers can leverage GraalPy's powerful capabilities in their existing applications. It also enables developers to use GraalPy to create more efficient and productive applications in the areas of machine learning, data analysis, and web development using their familiar Python toolsets.