Top 8 Python Testing Frameworks

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Bottom Line

RF is the best option for you because it offers a wide range of extensions & libraries. It is simple to use if you're looking to implement a keyword-driven framework approach that will let manual testers & business analysts create automation tests.

However, if you plan on creating complex scenarios, you will need to make some customizations that are included in the framework.

Pytest

One of the popular python automation testing frameworks and the best open-source framework. Pytest support:

• Unit testing
• Functional testing
• Application Programming Interface

Pytest supports all these testing. But you will require Python 3.5 or later to run it.

Pros

• Help you test the test suite in a simple method.
• It is highly extendable using plugins such as: pytest-cov, pytest-Django, pytest-bdd, and pytest-randomly.
• Additionally, you can include the pytest HTML plugin in your project to easily print HTML reports.
• You can use the Pytest plugin pytest-xdist to run tests concurrently.
• It has a large community.
• It is a great way to manage context between steps and support fixtures, which helps you to encompass all the parameter combinations without rewriting test cases.

Cons

Although Pytest makes it easy to create test cases, you need to use those in any other testing framework because Pytest uses its unique routines, so compatibility is not essential for Pytest.

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TestProject

TestProject is one of the free Python Testing Tools completely adapted for automation. It can be used on cloud and local HTML reports. So, by utilizing the TestProject, the developer can create test automation for mobile and web applications with the aid of Python's open-source SDK.

This framework support version 3.6, Pytest and Unittest frameworks. All necessary dependencies are included in the single cross-platform agent executable, TestProject.

Pros

• The execution of a single Agent includes all the 3rd party libraries required to implement and create test automation for mobile, web and generic tests.
• FREE Automatic reports in Hyper Text Markup Language/Portable Document Format format
• Implementation history is accessible via the RESTful Application Programming Interface.
• Keep updated with the latest technology of Selenium/Appium driver versions.
• Single Software Development Kit for IOS, Android, mobile and Generic tests.
• Built-in reporting and test runner features.
• Support for Mac, Windows, Linux, and Docker across multiple platforms.
• Huge community and support: forum, blog, and live chat feature built in.

Cons

• The agent can run tests one at a time; thus, you'd need to use Docker Agents for parallel testing.
• The hybrid cloud's team collaboration features are only partially available when working offline.
• Therefore, you will need to implement the collaboration, saving tests on a shared network drive/git rather than using the local "on-prem" option while working seamlessly on the hybrid cloud.

Bottom Line

TestProject is undoubtedly the right choice for teams with various skill levels, from novice automation developers to seasoned pros, if you are looking for a single framework that handles your entire automation efforts from beginning to end.

PyUnit (Unittest)

JUnit served as the inspiration for PyUnit (Unittest), a unit-testing framework for Python. Most developers begin their testing with this framework because it is the default one that comes with the Python package out of the box.

Pros

• As it is the standard python testing framework, additional modules are unnecessary because it comes with the python packages.
• It provides flexible execution of the test cases.
• Moreover, it helps in providing a quick generating test report, both XML reports and unittest-sml-reporting.

Cons

• Since the test code supports abstraction, it may occasionally be necessary to clarify its intentions.
• There must be a tonne of boilerplate code.
• Instead of using Python's snake case naming convention, camelCase is used because it is based on Junit.

Bottom Line

If you have a profound understanding of Unit frameworks, you can start unit testing because it would be easy for the individual to execute PyUnit. Moreover, it is comfortable for the tester because it does not require any dependencies.

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Nose2

It is one of the top python testing frameworks. Nose2 is a successor to Nose and is PyUnit, but with plugins. Nose2 enhances PyUnit's functionality by adding several plugins that support the testing process, test discovery, interior designers, fixtures, parameter settings, and other features.

Pros

• it is easy t get started with because it is used in getting started with
• The framework that comes out of the box with the Python library.
• It has many in-built features that help you make your testing faster and easier.
• Moreover, with the aid of the mp plugin, it enables parallel testing.
• Gather the test cases automatically if you follow the organization's guidelines and test code.

Cons

• A shortage of extensive documentation can retain you back if you are starting.
• Compared to other frameworks, Nose2 cannot be maintained actively.

Bottom Line

If you already use PyUnit, try Nose2 and see how it differs from PyUnit.

Behave

Behave is one of the best python automation testing and behaviour-driven development testing frameworks. Though it functions as the cucumber framework trace, it has various similarities to the Cucumber.

Pros

• Behave helps you write test cases in readable languages.
• It provides easy collaboration across various teams.
• It has multiple in-built features.
• A large amount of documentation and support is available to help get started.
• It supports the Gherkin language.
• As it supports the Gherkin language, it does not require technical knowledge.
• Behave is the best python automation testing because it can be integrated with Django and Flask.

Cons

• It does not support parallel execution.
• It allows the execution of black box testing.

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Bottom Line

If your team pursues the Behavior-driven development approach or has knowledge of Behavior-driven development, then you can execute the black box testing before checking out Behave. Moreover, you can also research other Python BDD frameworks, such as:

• Pytest-bdd
• Radish
• Lettuce
• Freshen
• Recommendations

So, Black box testing should suffice for your needs; otherwise, look elsewhere.

Lettuce

Lettuce is based on the Cucumber, one of the Python Behavior-driven development frameworks. It needs python 2.7.14 or higher.

Pros

• It supports the Gherkin language.
• Due to the Gherkin language support, non-technical people can easily create the test script using any natural language.
• It supports black-box testing as the Behave.
• Moreover, it supports various testing types.
• Lettuce is used for testing multiple servers, database behaviours and interactions.

Cons

• Compared to other python automation testing, it has a shortfall in various features. Due to this, it is used only for small projects.
• Documentation cannot be saved or maintained in this framework.
• It requires complete interaction of the team, like stakeholders, Devops engineers, quality testers, and managers, to implement the project successfully.

Bottom Line

If you intend to do a small project, you can choose the Lettuce framework. Lettuce is an excellent choice for effortless, natural language test creation among team members if you have a small Behavior-driven development project.

Testify

We can use Testify instead of Unittest and Nose frameworks because it is the advanced and standard Unittest.

Pros

• it is the best python automation testing framework for the unit, system, and integration testing.
• You can get started if you are acquainted with Testify and Unittest python automation testing.
• It has extensive plugins.
• Testify, and Nose2 enable test discovery.
• Simple fixture method syntax

Cons

• A lack of thorough documentation means that beginners may need to spend time looking for pertinent sources.
• It is challenging to conduct parallel testing.

Bottom Line

Testify is worth looking into if you have prior experience with Unittest because it will be simple for you to modify your current tests to function with Testify.

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