PyReason: Explainable inference for annotated, real valued, graph based and tem (github.com)

Interesting package and likely powerful but the very first 'basic example' fails and the API is rough. Not a fan of passing rules as strings.

Using google colab as of 2025-04-12:

import pyreason as pr pr.load_graph(g)

# RecursionError: maximum recursion depth exceeded

can you guys offer an introduction to what the library does to someone who isn't in academia?