The article analyzes the state of machine learning frameworks in 2019, highlighting a significant shift towards PyTorch among researchers while TensorFlow remains dominant in industry applications. It presents data showing PyTorch's rapid adoption in major research conferences, citing reasons such as simplicity, a better API, and performance. The future for TensorFlow in research appears uncertain as PyTorch solidifies its majority status within the community.