Written in Python, AstroML is a library of statistical and machine learning routines for analyzing astronomical data in python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets. An optional companion library, astroML_addons, is available; it requires a C compiler and contains faster and more efficient implementations of certain algorithms in compiled code.
https://ui.adsabs.harvard.edu/abs/2012cidu.conf...47V and Statistics, Data Mining, and Machine Learning for Astronomy, Ivezic et al, 2014; bibtex for latter is available here: http://www.astroml.org/index.html#citing-astroml