turboosun / streamsync

No-code in the front, Python in the back. An open-source framework for creating data apps.

What is Streamsync?

Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python. Check out a live demo of an app.

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.

Installation and Quickstart

Getting started with Streamsync is easy. It works on Linux, Mac and Windows.

pip install "streamsync[ds]"
streamsync hello

• The first command will install Streamsync using pip and include the optional data science dependencies.
• The second command will create a demo application in the subfolder "hello" and start Streamsync Builder, the framework's visual editor, which will be accessible via a local URL.

We recommend using a virtual environment.

Documentation

Documentation is available online at streamsync.cloud.

License

This project is licensed under the Apache 2.0 License.