Taipy is a framework for building Data Science and AI web apps in Python. As such, it is a competitor to the likes of Streamlit or Dash, but it is distinct from both of those products.
Taipy separates the user interface from the rest of the program logic and uses callbacks to add functionality to user controls. In this sense, it is closer to Dash than Streamlit where the user interface controls are often incorporated into the main Python code.
Both Dash and Taipy are based on the Flask microframework, so it shouldn’t be a surprise that there are similarities but where in a Dash app, you essentially construct your user interface in HTML (but written with Python functions), Taipy has an additional layer of abstraction that lets the user define user controls that are closer to Streamlit than Dash.
So, is Taipy the best of both worlds? I wrote an introduction in A Data Dashboard in Pure Python with Taipy that explores how to construct a web app in Taipy, so you can judge for yourselves how easy it is to use.
