Seaborn

Built on top of Matplotlib, Seaborn focuses on statistical visualizations with more attractive default styles and high-level APIs. It's ideal for quickly generating quality statistical graphs such as heatmaps, boxplots, and distribution plots.

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Resource Introduction

Related Resources

Matplotlib

Matplotlib is the most fundamental and widely used plotting library in Python, supporting various chart types like line plots, bar charts, and scatter plots. It offers high customization and is commonly used in scientific research, engineering, and education, serving as a foundation for many advanced visualization libraries.

Plotly

Plotly is an interactive data visualization library that supports online chart publishing and sharing. It enables creation of dynamic charts and dashboards, suitable for web apps, reports, and data analysis, and works well with Jupyter Notebook and the Dash framework.

Bokeh

Designed specifically for modern web browsers, Bokeh enables building interactive visualizations and dashboards. It integrates well with Pandas and other data tools, making it ideal for developing browser-based data visualization applications.