FastPlotPy: charts for Python and Jupyter

Install the public alpha

Use Python 3.11 or newer. This pinned command installs the release currently described here:

python -m pip install fastplotpy==0.3.0a1

The published wheel targets Windows x86-64. PyPI also provides a source distribution; installing it on other platforms can require a working Rust build toolchain. Check PyPI release files for availability.

Your first Python chart

Create a line chart with the public Python API. In Jupyter, displaying chart opens the interactive browser-backed view.

from fastplotpy import createChart

chart = createChart({
    "type": "line",
    "width": 800,
    "height": 400,
    "engine": "auto",
    "data": [{"x": 0, "y": 12}, {"x": 1, "y": 18}],
    "axes": {"show": True},
})

chart  # Display in Jupyter

For scene generation without a browser, use plot(options). The Python package provides the eleven chart families represented in the FastPlotJs gallery; the JavaScript examples on this site use JavaScript syntax and are not Python API documentation.

Browser and Jupyter interaction

The Python package includes a local browser frontend for Canvas, pointer and WebGL behavior. A loopback bridge connects the chart session to Python for state and callbacks. Zoom, selection, and other supported interactions run in the browser or Jupyter view. See the PyPI description for Python-specific behavior.