Taipy is a framework for building artificial intelligence and data science web applications in Python. As such, it is a competitor to products like Streamlit or Dash, but it stands apart from both.
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 more like Dash than Streamlit, where UI controls are typically embedded in the main Python code.
Both Dash and Taipy are based on the Flask microframework, so it should come as no surprise that there are similarities, but while in a Dash app you essentially build your UI in HTML (but written with Python functions), Taipy has an additional layer of abstraction that allows the user to define user controls that are closer to Streamlit than Dash.
So is Taipei the best of both worlds? I wrote an introduction on A pure Python data dashboard with Taipy which explores how to build a web application in Taipy, so you can judge for yourself how easy it is to use.