Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, …

Discover data applications for production with Plotly. Put data and AI into action with scalable, interactive data apps for your organization.

Detailed examples of Getting Started with Plotly including changing color, size, log axes, and more in Python.

Over 37 examples of Plotly Express including changing color, size, log axes, and more in Python.

Plotly Open Source Graphing Libraries Interactive charts and maps for Python, R, Julia, Javascript, ggplot2, F#, MATLAB®, and Dash.

Plotly Python Open Source Graphing Library Basic Charts Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make basic charts. Plotly …

Python API reference for plotly ¶ This is the reference of plotly’s API. Also see plotly’s documentation website.

Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.

Databricks Integration Overview and Table of Contents Connecting to a Databricks SQL Warehouse from Dash Executing Databricks Jobs using Plotly Dash

Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps.