GetDist

GetDist is a Python library designed for plotting and analyzing results from Markov chain Monte Carlo (MCMC) and other probabilistic models. It is particularly well-suited for visualizing posterior distributions and comparing different models or chains. The library provides functions to generate standard MCMC diagnostics, such as trace plots, marginal posteriors, and corner plots. It can read results from various MCMC samplers, including popular ones like CosmoMC, Dynesty, and Stan. GetDist's plotting capabilities allow users to create publication-quality figures with a high degree of customization. It can handle multi-dimensional parameter spaces and offers tools for calculating credible intervals and other summary statistics. The library also includes features for comparing different runs or chains, such as plotting multiple posteriors on the same graph or calculating the Kullback-Leibler divergence between distributions. GetDist is actively developed and used in fields like cosmology, machine learning, and statistics for its efficiency and comprehensive visualization tools.