I prefer PyTorch myself, but to call Keras obsolete is quite the stretch. Just because academia has largely moved on from it, doesn't mean nobody uses it.

Also, the API isn't all that different from other libraries. The principles are the same.

The industry has also moved on from keras/tensorflow (apart from for legacy reasons).

Google itself has moved on to JAX.

I wonder about Keras 3. It's now backend independent again, like in the early days, and supports JAX, TensorFlow, or PyTorch. It's a nice thing if you defined your model and can then easily switch between the frameworks, right? Or no-one cares about that, and everyone just uses PyTorch?

I suppose they are using keras because of its simplicity. But I agree, things have really moved on from keras.