Propel vs Streamlit: What are the differences?

Propel: Machine learning for JavaScript. Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript; 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.

Propel and Streamlit belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Propel are:

• Run anywhere, in the browser or natively from Node
• Target multiple GPUs and make TCP connections
• PhD optional

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

Propel and Streamlit are both open source tools. It seems that Propel with 2.8K GitHub stars and 80 forks on GitHub has more adoption than Streamlit with 2.73K GitHub stars and 184 GitHub forks.