  DisCoPy is a Python toolkit for computing with monoidal categories. It comes
with two flexible data structures for string diagrams: the first one for planar
monoidal categories based on lists of layers, the second one for symmetric
monoidal categories based on cospans of hypergraphs. Algorithms for functor
application then allow to translate string diagrams into code for numerical
computation, be it differentiable, probabilistic or quantum. This report gives
an overview of the library and the new developments released in its version
1.0. In particular, we showcase the implementation of diagram equality for a
large fragment of the hierarchy of graphical languages for monoidal categories,
as well as a new syntax for defining string diagrams as Python functions.
