DIPY is a highly versatile and widely used python package for analyzing diffusion MRI images. There are several modules for performing many common tasks related to MRI image analysis (such as de-noising, image registration and clustering) . These modules have been under active open development as a community initiative and have been well-tested. In this proposal, I will focus on extending the core functionality by building workflows that can achieve various tasks (varying from simple image registration to image de-noising, clustering etc. in an automated manner). These workflows will be powerful abstractions for the domain users (specifically medical practitioners) to achieve several tasks related to diffusion MRI image analysis with minimal manual intervention.