With Olympus, one can rapidly construct a minimal source code optimization benchmark experiment consisting of experiment planning algorithms of type grid-like, evolutionary, and Bayesian. Namely, this demonstration uses Random Search, Genetic, HyperOpt, and BoTorch. Using the benchmark method of the main Olympus orchestrator, one simply needs to pass the name of the dataset, a list of experiment planner names, an Olympus database instance to store the results, and some specifications pertaining to the length of the benchmark experiment. The num ind runs argument specifies the number of repeated executions of each planner, while the num iter argument specifies the number of objective function evaluations to perform in each run. Source code for this example appears in Figure .