Plotly is a charting library for Python. The arguments to this function closely follow the ones for Plotly's plot () function. To show Plotly charts in Streamlit, call st.plotly_chart wherever you …

This page shows different Plotly charts with selections enabled. For every chart, you can click to select a point, shift-click to select multiple points, or use the box and lasso select tools in the …

Jul 23, 2023 · Dive deep into the world of data visualization with Streamlit and Plotly. Learn how to create interactive charts, update figures, resolve sizing issues, and build comprehensive …

Jun 27, 2025 · In this hands-on tutorial, you'll learn how to build a complete sales dashboard in two clear steps. We'll start with core functionality using just Streamlit and Pandas, then …

Apr 16, 2025 · This integration allows developers to seamlessly embed Plotly figures, making data visualization more dynamic and engaging. Below is an example of building plotly chart on a …

To show Plotly charts in Streamlit, call st.plotly_chart wherever you would call Plotly's py.plot or py.iplot. See https://plot.ly/python/ for examples of graph descriptions. If True, set the chart …

This is a demo app for the 1.16 release of Streamlit, focusing on showcasing the new Streamlit theme for Plotly charts! We collected a bunch of example charts from Plotly's docs to show …

Create interactive data visualizations with Streamlit's charting capabilities including simple charts, advanced visualization libraries, and community components.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Jul 10, 2025 · For complex dashboards, you might even use multiple libraries—Native Charts for simple KPIs, Plotly for interactive exploration, and Altair for performance-critical visualizations.