canvasxpress-streamlit

CanvasXpress interactive charts in Streamlit apps — no JavaScript build step. The library is loaded from the CanvasXpress CDN inside Streamlit's component iframe.

Install

pip install canvasxpress-streamlit

Use

import streamlit as st
from canvasxpress_streamlit import canvasxpress

st.title("CanvasXpress in Streamlit")

canvasxpress(
    data={
        "y": {
            "vars": ["Revenue"],
            "smps": ["Q1", "Q2", "Q3", "Q4"],
            "data": [[10, 14, 9, 17]],
        }
    },
    config={"graphType": "Bar", "title": "Quarterly Revenue"},
    height=420,
)

data and config are exactly the arguments of new CanvasXpress({...}) in JavaScript, so any spec from the gallery or the R / Python packages works unchanged.

Parameters

License

Dual-licensed. The core library is LGPL-3.0-or-later; commercial terms are available — see https://canvasxpress.org/license.html.