Comprehension of Open Source Software (OSS) projects is traditionally driven by the plethora of data produced and maintained by these projects. The data, in one hand, encapsulates the tacit knowledge on the evolution of the software itself. And, on the other hand, provides the history of communication and collaboration of the community. Acquisition and analysis of such data has been mostly manual or semiautomated and error-prone, mainly due to unstructured and substandard data representation. This increases the validity threat of the reported results and makes it incomparable across the studies. With the advancement of data management tools and technologies, many third party data providers are putting serious effort to provide OSS project's data in a standard and platform independent format. In this paper, we propose a framework to fully automate the analysis and visualization of OSS evolution data through the use of existing data services. As a proof of concept we implemented a tool named POMAZ. We demonstrate the applicability of the tool in the context of two related open source projects FFmpeg and GStreamer.