Commonly used visualization libraries

There are countless visualization libraries available in Python, and more are being published every day. Visualization libraries can be divided into two main categories: static visualization libraries and interactive visualization libraries. Static visualizations are images consisting of plotted values that cannot be clicked by the user. On the other hand, interactive visualizations are not just images but representations that can be clicked on, reshaped, moved around, and scaled in a particular direction. Static visualizations are often destined for email communications, printed publications, or slide decks, as they are visualizations that you do not intend others to change. However, interactive visualizations are generally destined for dashboards and websites (such as AWS or Heroku) in anticipation of users interacting with them and exploring the data as permitted.

The following open source libraries are currently some of the most popular...