Python's standard interpreter (CPython) can be slow for the heavy computation required for large cube pruning tables. To achieve "verified" fast performance:
If you need a Python package that supports both simulation and basic solving through an easy-to-use API, is a top choice. Repository : trincaog/magiccube Capabilities :
: dwalton76/rubiks-cube-NxNxN-solver for robust, large-scale solving.
: Includes a suite of tests to verify the solution move counts across different cube sizes.