Over the past decade, high-throughput (HT) density functional theory (DFT) calculations have become increasingly popular to the point where they now represent a standard tool within computational materials science. Such calculations serve multiple roles: they enable the screening of materials with specific targeted properties for materials discovery campaigns, enable the development of general-purpose databases of materials properties, and provide foundational data for training machine learning models.