DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Package to perform tight binding calculation in tight binding models, with a friendly user interface

Python library to compute different properties of tight binding models

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

Python package implementing the kernel polynomial method

Toolkit with Kernel Polynomial Method based modules for quantum physics simulations.

Numerical methods for tight-binding models --CPA, KPM, Chebyshev expansion