  We present the open-source image processing software package PySAP (Python
Sparse data Analysis Package) developed for the COmpressed Sensing for Magnetic
resonance Imaging and Cosmology (COSMIC) project. This package provides a set
of flexible tools that can be applied to a variety of compressed sensing and
image reconstruction problems in various research domains. In particular, PySAP
offers fast wavelet transforms and a range of integrated optimisation
algorithms. In this paper we present the features available in PySAP and
provide practical demonstrations on astrophysical and magnetic resonance
imaging data.
