Keras vs Streamlit: What are the differences?
Developers describe Keras as "Deep Learning library for Theano and TensorFlow". Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/. On the other hand, Streamlit is detailed as "A Python app framework built specifically for Machine Learning and Data Science teams". It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.
Keras and Streamlit belong to "Machine Learning Tools" category of the tech stack.
Some of the features offered by Keras are:
- neural networks API
- Allows for easy and fast prototyping
- Convolutional networks support
On the other hand, Streamlit provides the following key features:
- Free and open source
- Build apps in a dozen lines of Python with a simple API
- No callbacks
Keras and Streamlit are both open source tools. It seems that Keras with 44.7K GitHub stars and 17K forks on GitHub has more adoption than Streamlit with 2.73K GitHub stars and 184 GitHub forks.
