Stan is a state-of-the-art platform for statistical modeling and computing. It is designed for Bayesian inference and offers users the ability to define complex statistical models using a flexible modeling language. Stan excels in performing full Bayesian statistical inference with efficient algorithms for sampling and optimization, such as Hamiltonian Monte Carlo (HMC) and variational inference. It supports a wide range of applications across fields like data science, machine learning, and engineering. Stan is open-source, allowing users to contribute and modify its source code.