plotly
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
df = pd.DataFrame({
'x': [1, 2, 3, 4],
'y': [10, 11, 12, 13]
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