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.
- 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.
- 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.
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
pipand 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 is available online at streamsync.cloud.
This project is licensed under the Apache 2.0 License.