Since computer science is an important part of our civilization, functional testing frameworks are required. Therefore, Python solutions are very popular these days. But how to choose the best Python testing framework? What to look out for? Let’s talk about this for a moment or two.
What is Python testing needed for?
Well, Python, as a programming language, turns out to be an excellent tool for test automation. It is actually quite common to approach different test processes with advanced features that are fully automated – no human required, if anyone would wonder. Python sessions have a low entry barrier, which makes them perfect for small and big digital projects with high level of complexity. An open source test automation framework based on Python standard is therefore very useful for QA (Quality Assurance) specialists from Codete, for example, who are responsible for making sure that the final product meets the requirements coming from both the market and designated users.
Python test automation frameworks
There are many Python-based frameworks available these days, and some of them are better than others. So, let’s take a look at the two most recommended solutions.
The Robot framework has quite a lot of fans. It is entirely built in Python language and is used for Acceptance Testing, Test-driven development and Robotic Process Automation. The Robot’s flexibility is the most important feature, though. This particular framework can be used for running Java and .Net test case. What’s more, Robot supports all operating systems (Windows, macOS and Linux) for desktop software solutions, mobile apps… everything, really. Additionally, Robot can run tests in parallel testing mode, which allows it to handle more than just one project at a time, but in order to do so, the framework requires Selenium Grid. That may be problematic for some QA guys. Creation of customized HTML test reports is also more difficult than it should be.
And what about Pytest? In terms of popularity, it is the second. Just as the Robot, Pytest is an open source Python-based solution with multipurpose capacity. However, it is mostly used for Functional and API testing, but writing a behavior-driven development tests is also in its reach. It is very easy to create test cases, too, and there are fewer issues with that in comparison to other frameworks. Unfortunately, Pytest isn’t compatible with any of them, and for some of us that factor might be the biggest disadvantage of this particular framework.
