Microsoft Cognitive Toolkit vs Streamlit: What are the differences?

Microsoft Cognitive Toolkit: An open-source toolkit for deep learning. It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph; Streamlit: 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.

Microsoft Cognitive Toolkit and Streamlit can be categorized as "Machine Learning" tools.

Some of the features offered by Microsoft Cognitive Toolkit are:

• Speed & Scalability
• Commercial-Grade Quality
• Easy-to-use architecture

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

Microsoft Cognitive Toolkit and Streamlit are both open source tools. It seems that Microsoft Cognitive Toolkit with 16.5K GitHub stars and 4.39K forks on GitHub has more adoption than Streamlit with 2.73K GitHub stars and 184 GitHub forks.