We have developed Reaxtica, a practical and explainable machine learning platform for accurate and fast reaction selectivity and yield predictions, using physics-based electronic and steric descriptors. To make Reaxtica applicable for experimental chemists in their daily research, we have built an easy-to-use webserver (), in which users only need to input the components of reactions and Reaxtica will give the result within seconds.