Autonomous atomistic computations are excellent tools to accelerate the development of heterogeneous (electro-)catalysts. In this perspective, we critically review achieved progress high-throughput screening aimed at identifying promising catalyst materials via databases, workflow managers, and machine-learning techniques. Outstanding challenges also discussed extensively: modification stabilit...