The difference between static and interactive plotting

In the world of data visualization, there are three main libraries using Python that dominate the market, and these are as follows:

• Matplotlib
• Seaborn
• Bokeh

The first two, Matplotlib and Seaborn, let you plot static plots—plots that do not change and plots that cannot be interacted with. These plots are useful and add value when performing exploratory data analysis, as they are quick and easy to implement and very fast to execute. 

The third plotting library, Bokeh, lets you plot interactive plots—plots that change when the user interacts with them. These plots are useful when you want to give your audience a wide range of options and tools for inferring and looking at data from various angles.