The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy [1], scipy [1], sklearn [3], and matplotlib [2]. As a machine learning module, it provides versatile tools for various learning tasks like time-series prediction, classification, clustering, dimensionality reduction, and related tasks.