feets (conda): The main goal is to create a collaborative and open tool where every user can characterize or analyze an astronomical photometric database while also contributing to the library by adding new features. Features are numerical descriptors that aim to characterize and distinguish the different variability classes. Our vision is to be capable of analyzing and comparing light-curves from all the available astronomical catalogs in a standard and universal way. This would facilitate and make more efficient tasks as modelling, classification, data cleaning, outlier detection and data analysis in general.
Keywords: astronomy|astropy|feature-extraction|machine-learning|python2|python3|scipy|timeseries