Python has a wide range of libraries for data visualization to create rich, interactive visualizations from complex datasets.

The most popular visualizations libraries are Matplotlib and Seaborn.

 Matplotlib is a popular library for creating static, 2D visualizations such as line charts, scatter plots, and histograms.

Seaborn is a library built on top of Matplotlib that provides more advanced visualization capabilities.

Other popular python visualizations libraries are Plotly,Bokeh and Altair.

Plotly library is used for creating interactive 2D and 3D visualizations.

Bokeh is used to create real-time visualizations and can be easily embedded in web applications.

Each library has its own advantages and weaknesses and the choice largely depends on the specific requirements of the project.