What are the top Python Frameworks for Test Automation in 2019?

A web app framework is supposed to have all the best scripts, assumptions, test cases, and techniques to run every single code and module to find the weaknesses and shortcomings.

There are several Python testing frameworks that seem best Python web app framework, simply read to learn why?

TOP Python testing frameworks for test automation in 2019

• Robot Framework- It is the most popular Python framework for automation testing. It is developed entirely in Python and it is very useful for acceptance testing. This automation framework is capable of running in .NET and Java. It also supports cross-platform like MacOS, Linux and Windows.

• Pytest — If your project is comparatively small with less complexness, it is the best test automation platform. It is likable by several Python developers and them by and large use it for unit testing. Even though the package incorporates several sub-packages, it is now called entirely for its py.test framework.

• zope.testing-As usual, the developers running the Zope project seem to have been mastermind and early innovators. They required a multiform way to discover and run tests across their large code base, & their answer was the zope.testing package, which remains to a great extent used to this day.
• Jasmine-It uses BDD (behavior-driven development) framework for JavaScript unit testing. Jasmine is appropriate for anything where JavaScript is present. Apart from JavaScript, it is exclusively used in Ruby and Python test automation. Hence, it enables you to run server side and client side test cases in parallel.

• Nose-The nose project was launched in 2005, the year after py.test received its modern guise. It was written by Jason Pellerin for supporting the same test idioms that had been pioneered by py.test, but in a blend that is simpler to install as well as maintain.