We introduce PythiaCHEM , an open-source platform for the development of predictive datadriven ML models, particularly suited for small datasets. Distinctive features of PythiaCHEM include its high level of automation, flexibility, and ease of use through Jupyter Notebooks, making it an accessible resource for beginners while also offering experts the possibility to customize the toolkit to their specific requirements. Moreover, the utilization of data elimination techniques, shallow learning algorithms, and ensemble modeling enables users to analyze and interpret the models generated, which is crucial in chemistry applications, where understanding the models often takes a backseat.