Thursday July 18, 2019
Python test automation framework ! Yes you have heard it right. Python has got framework that can be used for testing. Since the language is Python, regarded one of the most versatile language in the world, quirks of such framework is many. Some of them are,
Considering the following points you can easily pick out the best framework for your purposes. Some of the commonly used python frameworks are;
1. Robot Framework
Robot framework is largely used for acceptance testing. It is counted among one of the best python framework. The robot is used in Python but it can run on .net-based IronPython and on Jython which is Java based.
The robot is compatible with various platforms including Windows, MacOS or Linux. Robot framework requires Python 2.7.14 or above. To run Robot you will also require ‘pip’ or python package manager. You should also download a development framework to use robot framework.
Advantages of Robot Framework
Disadvantages of Robot Framework
2. Pytest Framework
Pytest can assist in test automation of all kinds of software testing. It is easy to learn, open source Python-based framework extensively used by QA teams.
Its veteran features like ‘assert rewriting’; it is being extensively adopted by testers worldwide. Using python does not require any specific prerequisites except for working knowledge of Python. Apart from this, you should also have a python package manager, command line interface, and an IDE.
Advantages of Pytest Framework
Disadvantages of Pytest Framework
The main issue with pytest is the compatibility issue. It does not allow using the test cases written in pytest to be shared with other frameworks.
3. PyUnit/UnitTest Framework
Unittest or PyUnit is a unit testing Python framework. In the PyUnit framework, the base class TestCase provides assertion methods and the cleanup and setup routines. The methods name starts with “test” in the subclass of TestCase to allow them to execute as test cases.
For the grouping and loading of tests, it supports the load methods and the TestSuite class. It also supports XML reports and unittest-sml-reporting. PyUnit comes with Python by default.
Advantages of PyUnit/UnitTest Framework
Disadvantages of PyUnit/UnitTest Framework
4. Behave Framework
Behave allows software teams to run BDD testing without any difficulties. It is similar to SpecFlow and Cucumber. Behave allows writing test cases in easily readable language.
Behave requires Python 2.7.14 or any above version, Python package manager or pip, and any IDE like Pycharm or other.
Advantages of Behave Framework
Disadvantages of Behave Framework
5. Lettuce Framework
It is a behavior driven automation tool that is easy to use and it getting highly popular for BDD testing. It is based on Python and cucumber. It makes the process simpler and entertaining by its BDD approach. Lettuce requires Python 2.7.14 or any above version, Python package manager or pip, and any IDE like Pycharm or other.
Advantages of Lettuce Framework
Disadvantages of Lettuce Framework
It required strong coordination and communication among developers, testers, and stakeholders.
6. RedwoodHQ Framework
The RedwoodHQ framework lets multiple testers to connect in a single web location to execute the tests simultaneously. It supports complete automation and management of software testing.
REdwoodHQ supports action keyword enabling creating test cases quickly and easily. Supports writing test cases in Python and other languages such as C#, Java, etc. It has an inbuilt IDE.
It helps in easy creation, modification, and execution of test cases. It records a history of all the test runs for future references.
Advantages of RedwoodHQ Framework
7. Jasmine Framework
Advantages of Jasmine Framework
Disadvantage of Jasmine Framework
8. Gauge framework
Gauge is an impeccable tool made from the same team that made Selenium. Since Gauge is an open source framework, there are plenty of quirks in using it. If you wish to integrate continuous testing into CI/CD pipeline, Gauge is one of the best options. Gauge is nowadays gaining lots of momentum owing to its cross-browser testing functionality.
Advantages of Gauge framework
How to pick the best test automation framework?
In large a good test automation framework should have best
But every project is different and might require one or more of the above parameters. So while selecting the best framework for test automation considers the following points:
It is better to break the project into smaller modules and then look out for the best fit. Not to ignore your budget. You need to consider your budget and then look out for a framework that offers maximum benefits and features for your project.
What to look for in a testing automation framework?
The framework helps in automating your testing process while reducing the manual efforts and making the testing process faster and more efficient. When looking out for an expert framework for your testing requirements consider the following points:
There are just the generic points you might consider before picking up a framework for your testing process. On a larger picture, developer’s requirements, an application under test, environment and more play a more important role in selecting the best framework for your requirements.
Now when we are acquainted with various python frameworks, choosing the best one could be a tricky task. Though all of them are good and serves different requirements. It is best to take a note of all your requirements and then pick the framework that fulfils your maximum requirements.