New software enabling automatic optimization of docking models is now available as part of the UCSF DOCK 3.8 release. This software is available for free to academic researchers (see: dock.compbio.ucsf.edu) and at modest cost otherwise (email: dock_industry@googlegroups.com). First, we describe the software and how to use it on the command line. Second, we test the software's utility by using it to perform retrospective docking against the 43 targets of the DUDE-Z benchmark . Third, we introduce a web service for this software. The resulting docking model can be downloaded and deployed for prospective docking on the user's on-premises computers, a cloud platform (such as AWS ), or any other system capable of largescale docking. We take up each of these themes in turn. DockOpt is a single command for generating and evaluating many different docking models when a retrospective dataset of molecules is available. The performance of a docking model may be evaluated by retrospective docking, where the ability of the model to distinguish between reported binders (positive class) and presumed non-binders (negative class) is assessed. DockOpt wraps the generation, evaluation, and optimization of docking models all in a single tool.