Comparing
The most powerful data visualization library for the web — bind data to SVG/Canvas elements and transform them with scales, axes, and layouts.
Statistical data visualization built on matplotlib — beautiful charts with sensible defaults and one-line syntax.
| Metric | d3 | seaborn |
|---|---|---|
| Ecosystem | npm | Python |
| Difficulty | Advanced | Beginner ✓ |
| Weekly downloads | 5.0M | 8.0M↑ |
| Latest version | v7.9.0 | v0.13.2 |
| Recipes | 1 | 2↑ |
d3 only
Shared
seaborn only
Custom visualizations that no library supports, journalism/scrollytelling data stories, network graphs, geo maps, animated transitions between data states, or when you need to own every detail.
Exploratory data analysis, correlation matrices, distribution comparisons, categorical plots, regression plots, or any time you want a beautiful statistical chart in a few lines.
Standard bar/line/pie charts in a product (use Recharts or Chart.js — they're 10x faster to implement). d3's learning curve is steep.
Custom non-statistical visualizations, interactive web charts, or when you need pixel-perfect control over layout.
d3
seaborn