Stan vs Chainer: What are the differences?

Stan: A Probabilistic Programming Language. A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business; Chainer: A Powerful, Flexible, and Intuitive Framework for Neural Networks. It is an open source deep learning framework written purely in Python on top of Numpy and CuPy Python libraries aiming at flexibility. It supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.

Stan and Chainer belong to "Machine Learning Tools" category of the tech stack.

Stan and Chainer are both open source tools. It seems that Chainer with 4.98K GitHub stars and 1.32K forks on GitHub has more adoption than Stan with 1.62K GitHub stars and 282 GitHub forks.