The multitude of formats for specifying variability models induces additional effort for researchers and practitioners and hinders exchange. The Universal Variability Language (UVL) is a community effort towards a unified format. Over the last two years, several tools integrated UVL allowing a wide usage. In this Diverse Coffee, we will cover how UVL can be integrated as a language to analyze variability using the Python-based framework FLAMA. We will present how the framework has been designed having UVL in mind and how easy it is to integrate it with analysis support such as SAT, BDD, SMT, or other complementary tools that enable, for instance, transformations to other variability representations. Also we will show its architecture and how it links with DSL metamodeling approaches.