distfit (conda): Distfit is a python package for probability density fitting across  89 univariate distributions to non-censored data by residual sum of  squares (RSS), and hypothesis testing. Probability density fitting  is the fitting of a probability distribution to a series of data  concerning the repeated measurement of a variable phenomenon.  Distfit scores each of the 89 different distributions for the fit  with the empirical distribution and return the best scoring  distribution.
Keywords: cumulative-distribution-function|density-functions|fitting-curve|hypothesis-testing|kolmogorov-smirnov|pdf|plot|probability-distribution|probability-statistics|pypi|qqplot|sse