Welcome to powerlawrs’s documentation!¶
powerlawrs is a Python package for analyzing power-law distributions in empirical data. It is built on a high-performance Rust crate powerlaw, providing both speed and ease of use for Python users. The methodology is heavily based on the techniques and statistical framework described in the paper ‘Power-Law Distributions in Empirical Data’ by Aaron Clauset, Cosma Rohilla Shalizi, and M. E. J. Newman.