While both PyTorch and TensorFlow are popular deep learning frameworks, PyTorch uses dynamic computation graphs, allowing more flexibility during model development and debugging. TensorFlow, on the other hand, uses static graphs, which are optimized for production. PyTorch also provides an easy transition to production with TorchScript.