plotly

SKILL.md

Interactive scientific and statistical visualization library with 40+ chart types and dual APIs for quick or custom plots.

Offers two complementary APIs: Plotly Express for rapid, pandas-friendly visualizations in minimal code, and Graph Objects for fine-grained control over complex multi-trace figures

Supports 40+ chart types across basic (scatter, line, bar), statistical (histogram, box, violin), scientific (heatmap, 3D surface), financial (candlestick, OHLC), and geographic (choropleth, density maps) categories

Exports to interactive HTML (standalone or CDN-linked) and static images (PNG, PDF, SVG via kaleido); includes built-in interactivity like hover tooltips, pan/zoom, animations, and rangesliders

Enables multi-plot dashboards via subplots, styled with built-in templates (plotly_dark, ggplot2, seaborn) and full customization of colors, fonts, axes, and annotations

Plotly

Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types.

Quick Start

Install Plotly:

uv pip install plotly

Basic usage with Plotly Express (high-level API):

import plotly.express as px
import pandas as pd