cotengra is a python library for contracting tensor networks or einsum expressions involving large numbers of tensors - the main docs can be found at cotengra.readthedocs.io. Some of the key feautures of cotengra include:

drop-in einsum and ncon replacement
an explicit contraction tree object that can be flexibly built, modified and visualized
a 'hyper optimizer' that samples trees while tuning the generating meta-paremeters
dynamic slicing for massive memory savings and parallelism
simulated annealing as an alternative optimizing and slicing strategy
support for hyper edge tensor networks and thus arbitrary einsum equations
paths that can be supplied to numpy.einsum, opt_einsum, quimb among others
performing contractions with tensors from many libraries via autoray, even if they don't provide einsum or tensordot but do have (batch) matrix multiplication

Cotengra

Install / Use

README