Matplotlib, Seaborn, and Tableau are powerful tools for data visualization, each serving distinct purposes. Matplotlib is a versatile Python library that provides a foundation for creating static, animated, and interactive plots. It’s highly customizable and well-suited for creating detailed, publication-quality figures. Seaborn, built on top of Matplotlib, offers a higher-level interface for drawing attractive and informative statistical graphics. It simplifies complex plotting tasks with built-in themes and color palettes, making it easier to create aesthetically pleasing and informative visualizations. Tableau, on the other hand, is a leading business intelligence tool that excels in creating interactive and shareable dashboards. Its user-friendly drag-and-drop interface allows users to visualize data from various sources quickly, making it ideal for exploratory data analysis and presentation to non-technical stakeholders. While Matplotlib and Seaborn are more focused on code-based visualizations and integration with data science workflows, Tableau stands out for its ease of use and ability to handle large datasets with interactive capabilities.