There exists other software for objective design used in conjunction with goal-directed generative models. , one of the seminal approaches, implements a suite of configurable scoring functions for use with its respective goal-directed generative model architecture. However, the design of the source code is deeply integrated with the REINVENT generative model and therefore it is not straightforward to be used interchangeably with other goal-directed generative models for standardised comparison. This contrasts with MolScore which is designed to plug-and-play with different generative models. Another framework, the Therapeutic Data Commons (TDC) platform , reimplements the GuacaMol suite (with some customizability, e.g., reference molecule) and provides several additional capabilities such as docking, three synthetic accessibility scores, three molecular descriptors and three pre-trained activity models. However, not all scoring functions are customizable and score transformation or aggregation (for use in a multi-parameter setting) must be manually coded introducing a problem with respect to standardization and reproducibility across users. On the other hand, MolScore contains more scoring functions where each one is more configurable, as well as an interface with 2,337 pre-trained activity models, and handles multiparameter configuration via the configuration file thereby standardising transformation and aggregation. It should be noted that MolScore is focussed on de novo design while the TDC has a much broader scope.