Seaborn is a statistical data visualization library built on top of Matplotlib and integrated with Pandas DataFrames, providing a high-level interface for creating informative and attractive plots. It excels at making complex statistical plots simple to create, handling aggregation, estimation, and semantic mapping automatically. Understanding the distinction between axes-level and figure-level functions is essential: axes-level functions (like scatterplot, histplot, boxplot) plot onto a single Matplotlib axes and integrate seamlessly with subplots, while figure-level functions (like relplot, displot, catplot) create entire figures with FacetGrid objects, enabling automatic faceting across variables and consistent sizing.