Is PyTorch Better Than TensorFlow?

Is PyTorch better than TensorFlow for general use cases? I use PyTorch at home and TensorFlow at work. The other way around would be also great. There are two "general use cases" for either one. Each of them has its own challenges, but if you have only training (students and researchers) or mostly inference and implementation (developers), you start focusing on different things. TensorFlow is built around a concept of Static Computational Graph (SCG).