Streamsync helps you create performant data apps, via Python code and its built-in visual UI editor.
Project description
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.
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
streamsync hello
- The first command will install Streamsync using
pip. - 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.
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