Data Visualization

Comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib is versatile and widely used for plotting graphs and charts with extensive customization options.

Built on top of Matplotlib, Seaborn provides a high-level interface for drawing attractive and informative statistical graphics, simplifying the creation of complex visualizations with beautiful default themes.

Plotly offers a range of interactive plotting options and is known for its advanced graphics and interactivity, supporting complex visualizations with ease. Perfect for creating web-based dashboards.

Bokeh focuses on building interactive, web-ready plots, which can be a powerful tool for creating dynamic visualizations that can easily be embedded in web applications.

Altair is a declarative statistical visualization library for Python, offering a simple and concise way to create a wide range of statistical plots based on a logical data mapping.