BayesPowerlaw fits single or mixtures of power law distributions and estimate their exponent using Bayesian Inference, specifically Markov-Chain Monte Carlo Metropolis Hastings algorithm. See the Documentation page for details.

Installation: pip install BayesPowerlaw

Requirements:

• Python >= 3.6.2
• numpy >= 1.10.1
• scipy >= 1.0.0
• matplotlib >= 2.0.0

• Documentation: http://BayesPowerlaw.readthedocs.org
• Github: https://github.com/atwallab/BayesPowerlaw
• PyPI: https://pypi.python.org/pypi/BayesPowerlaw