Pre-release
This release is a pre-release and may not be stable for production use.
Colight: declarative, reactive visuals in Python
colight.plot provides a composable way to create interactive plots using Observable Plot.
Key features:
- Functional, composable plot creation built on Observable Plot (with near 1:1 API correspondence between Python and JavaScript)
- Support for sliders & animations
- Works in Jupyter / Google Colab
- HTML mode which persists plots across kernel restart/shutdown, and a Widget mode which supports Python<>JavaScript interactivity
- Terse layout syntax for organizing plots into rows and columns
- Hiccup implementation for interspersing arbitrary HTML
- Export visualizations as HTML or as
.colightfiles for embedding in websites
For detailed usage instructions and examples, refer to the Colight User Guide.
## Development
Run `yarn watch` to compile the JavaScript bundle.
### CI Workflows
The project has several CI workflows:
- **Tests**: Runs JavaScript and Python unit tests
- **WebGPU Screenshots**: Tests 3D WebGPU rendering capabilities by capturing screenshots in headless Chrome
- **Docs**: Builds and deploys documentation
- **Pyright**: Runs type checking for Python code
- **Ruff**: Runs code formatting and linting
## Credits
- [AnyWidget](https://github.com/manzt/anywidget) provides a nice Python<>JavaScript widget API
- [pyobsplot](https://github.com/juba/pyobsplot) was the inspiration for our Python->JavaScript approach
1 maintainer
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