Seaborn
What it is: Statistical visualization library built on Matplotlib. Beautiful by default, simple syntax.
What It Does Best
Statistical plots. Distributions, correlations, regressions with one line of code.
Pandas integration. Pass DataFrames directly. Automatically handles aggregations and grouping.
Beautiful defaults. Looks professional without customization. Color palettes scientifically designed.
Pricing
Free. Open source, BSD license.
When to Use It
✅ Exploratory data analysis in Jupyter
✅ Statistical visualizations quickly
✅ You work with Pandas DataFrames
✅ Want good-looking plots without customization
When NOT to Use It
❌ Need interactive charts (use Plotly)
❌ Extremely custom chart types (use Matplotlib)
❌ Non-statistical business charts
Bottom line: Matplotlib made easy. Perfect for data scientists doing EDA. One-line statistical plots that look publication-ready.