Streamlit vs OpenNN: What are the differences?

Developers describe Streamlit 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. On the other hand, OpenNN is detailed as "*A neural networks C++/Python library *". It is a free neural networks library for advanced analytics. It has solved many real-world applications in energy, marketing, health and more.

Streamlit and OpenNN can be primarily classified as "Machine Learning" tools.

Some of the features offered by Streamlit are:

• Free and open source
• Build apps in a dozen lines of Python with a simple API
• No callbacks

On the other hand, OpenNN provides the following key features:

• Regression
• Classification
• Forecasting

Streamlit is an open source tool with 3.31K GitHub stars and 238 GitHub forks. Here's a link to Streamlit's open source repository on GitHub.