Despite the extensive amount of stellar elemental abundance data, the chemical evolution of stars is not that well understood. Given progress in the determination of stellar ages, the constraining power of chemical abundance data should be much better than it currently is. The main limitation from the galactic chemical evolution (GCE) modeller's point of view is our current understanding of elemental enrichment from nucleosynthetic processes, such as type 1a or core-collapse supernovae (SN). By using a simple one-zone GCE model within a sophisticated statistical framework, capable of exploiting the elemental abundances of hundreds of stars simultaneously, we are now able to score yield tables from literature by their ability to reproduce elemental abundance data. This is important to reduce the model uncertainty and also to make informed choices for costly hydrodynamical simulations that include GCE. Our results also suggest that this method is very sensitive to global GCE parameters, like the high-mass slope of the IMF. Since the project is open source and has many possible applications, feel free to contact me if you want to get involved.