Though many in silico compound generation and optimization tools are available for free , it is still an exception that these approaches are routinely used. The vast majority of methods described in the literature serve only as a proof of concept. Hence, they lack a proper graphical user interface (GUI) through which non-experts could easily access the algorithms and analyze their inputs and outputs in a convenient way. Even if such a GUI exists, it is often simplistic and intended to be used only with one particular method . Lack of easy to explain and auditable information systems is a factor leading to some level of disconnection between medicinal and computational chemists , which can hinder tighter collaboration that can stand in the way of effective utilization of many promising de novo drug design methods. Many molecular generators would also benefit from a comprehensive and easy to use application programming interface (API) that would enable easier integration with existing computational infrastructures. Recently a tool called Flame was presented that offers many of the aforementioned features in the field of predictive QSAR modeling , but while there are closed-source solutions like BRADSHAW or Chemistry42 to the best of our knowledge there is no such solution in the realm of open source software for de novo drug design. However, there has been effort to develop interactive databases of generated structures as evidenced by the most recent example, cheML.io .