Python is a very popular programming language, because it’s user-friendly and versatile. Having access to a dynamic framework based on Python can help save a significant amount of time and effort, and it can also convey an excellent experience. With that in mind, there are plenty of testing frameworks that you can use in order to automate the process and make it more convenient. Here are some of the top Python testing frameworks that you can use right away.
Behave
Behave is a very popular framework that has its system behavior defined by a semi-formal language. All specs maintain a similar format, and you also facilitate coordination of teams. Plus, building blocks make it very easy to execute all kinds of use cases, which is what sets it apart.
Lettuce
Lettuce does an excellent job in regards to behavior driven testing. It can be great if you want to make the BDD tasks much easier to complete. You can program multiple scenarios and describe everything in a very simple characteristic. You also have productive coordination.
Robot
You can use the Robot framework if you want to focus on acceptance testing. It’s developed in Python, but it can also run on IronPython, Jython and so on. It’s also compatible with Linux, Mac as well as Windows. It can enable the use of test data syntax, it’s also based on keyword driven testing. With its help, you can have a very easy to understand report data.
Pytest
Pytest is one of the best testing frameworks for Python. It’s open source, and it’s also very easy to extend since it has a plethora of plugins. It’s also a very compact testing suite, and it can easily cover all parameter combinations without having to rewrite any of the test cases either.
TestProject
With help from TestProject, you can easily provide open source automation. What’s interesting is that it delivers local and cloud HTML reports. You can obtain automated reports, and you can also access the execution history. Another thing to note is that the community is extensive and you have great support. Plus, you have a single SDK for testing.
Testify
The framework is used for unit testing, but also system and integration testing. Its primary focus is to replace other frameworks, while adding new features to them. It has a lucid syntax, and you get lots of plugins. They also enable test discovery too, something to take into account.
Each one of these testing frameworks for Python are extremely versatile and dependable. You always want to use a testing framework that’s dependable, easy to understand, but also customizable. We highly recommend giving all of these a try if you want for a Python testing framework. Each one comes with a detailed set of instructions, stellar support, and you can fully adjust it to fit your requirements. That’s why it’s highly recommended to test them out for yourself and see what works for you and how you can get the best experience/results.
