@colight/core v2025.4.1-dev.202506112213

Colight: declarative, reactive visualizations 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

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 provides a nice Python<>JavaScript widget API
• pyobsplot was the inspiration for our Python->JavaScript approach