StreamlitGPT VS Streamsync

But Why Streamlit? Streamlit simplifies the process of turning data scripts into interactive web applications, allowing users from diverse backgrounds to participate. It's the go-to for data pros who want to showcase their work without the hassle of web development.

It's fast.

• Streamsync enables significantly lower response times, when compared to Streamlit.
• It only runs the user script once.
• It uses WebSockets to keep frontend and backend states in sync.

It's neat.

• Streamsync uses state-driven, reactive user interfaces. A data app's user interface is strictly separated from its logic.
• It uses a consistent yet customisable UI design system.
• No caching needed; the script runs once and things remain in memory. You can use globals and module attributes to store app-wide data.
• Predictable flow of execution. Event handlers are plain, easily testable Python functions. No re-runs, no strange decorators.

Check out a live demo of an app.