In the world of big data, developers are always on a lookout for a good tool that can process and analyze data in a more effective way for deriving meaningful insights. Python is one of the most preferred languages that is widely used by developers to write powerful and efficient code. Python testing frameworks are used by programmers to test source codes in various domains before its final implementation.
You can test any application using multiple frameworks in Python, but it is necessary to choose a framework that suits your business needs and requirements.. Here are best 10 Python Testing Data libraries that you must know in 2022. faker - Faker is a Python package that generates fake data for you; mimesis - highperformance fake data generator; RIDE - Test data editor for Robot Framework.