One more package that supports comprehensive serialization of data preprocessing steps within produced models is Qptuna . It features a modular API with variety of pre-implemented algorithms and featurizers, as well as a focus on model explainability. However, due to its focus on hyperparameter optimization and streamlining the modelling process the API is not as rich and extensible as in the case of some other packages such as DeepChem. For example, it might be tedious to use different hyper-parameter optimization strategies not implemented by the Optuna package, which Qptuna is based on. All of the aforementioned packages also lack support for PCM modelling with Qptuna as a notable exception with its support for simple Zscale descriptors. Even though there exists a package with pure focus on PCM, an R tool called camb (Chemically Aware Model Builder) , it has not been maintained since 2017 . Therefore, support for accessible and straightforward PCM modelling is still lacking among contemporary open source packages. Similarly, the inclusion of applicability domain of QSPR models is also not fully considered in any of the above packages.