The goal of this research project is the development of physics-informed learning techniques to analyze the stability of dynamical systems. In particular, we are interested in characterizing if, and under what conditions, a system evolves toward an equilibrium point. The objective then is to establish a theoretical framework based on Lyapunov theory for learning-based stability analysis and to develop a modular and extensible implementation of this framework.