In order to automate the whole process, e-Bitter is developed for the convenience of users. In the current implementation, there are two basic parts. One is the generation and visualization of ECFP fingerprint, which is natively implemented in the e-Bitter program; the other is the underlying model-prediction with the diverse machine-learning approaches via evoking the external Scikit-learn, Keras, and TensorFlow python libraries natively integrated in the Winpython v3.5.4.0. For the sake of seamless fusion between these two parts, various python scripts have been implemented and integrated in the e-Bitter program.