In this article, we are going to talk about Best selenium python Framework in an easy manner for beginners. Selenium is one of the most popular open-source tools that automates web browsers.
What is Selenium with Python?
Selenium is a potent tool for automating and manipulating web browsers through programs. All major browsers and operating systems are supported, and it has scripts written in a number of different languages, including Python, Java, C#, and others. For our purposes, Python will be used. All topics, including WebDriver, WebElement, and Selenium Unit Testing are covered in the Selenium Tutorial. This Python Selenium Tutorial covers Selenium from its fundamentals to more complex and practical applications.
Why learn Selenium with Python?
- Open Source and Portable – Selenium is a Web testing framework that is both open source and portable.
- Selenium is a collection of tools and a DSL (Domain Specific Language) used to execute various test kinds.
- Selenium instructions are separated into discrete classes, which makes them easier to understand and use.
- Less effort and stress for testers – As previously said, it practically takes no time at all to test repeated test cases on every new version. The workload of the testers is thereby reduced.
- Cost-saving measures for business clients The business must pay the testers’ salaries, but adopting an automation testing solution saves money. Automation benefits the firm financially as well as in terms of time saved.
Best Selenium with Python Frameworks
- PyTest Framework
- UnitTest Framework
- Testify Framework
- Behave Framework
- Nose2 Framework
- Lettuce Framework
- Robot Framework
PyTest Framework
- One of the oldest Python Selenium frameworks for scalable test automation is this one.
- Since it is open-source, the development teams, QA teams, and open learning groups for open source projects can simply access it. It offers API, Unit, and Functional Testing.
- It can be installed quickly using the pip command and is compatible with Python 3.5 and PyPy3 Python versions.
- Python Testing Frameworks follow the conventional test_ (or end with _test) nomenclature, but PyTest does not because of its integrated auto-discovery features that scan for inbuilt test modules and functions.
- In addition, retrieving failing assert statement data with the use of the assert authoring functionality eliminates the need to memorise self.assert* identifiers.
UnitTest Framework
- Another name for PyUnit, which is regarded as a standard Python Selenium Framework for test automation, is UnitTest.
- Inspired by JUnit, PyUnit is a unit testing framework for Python that functions similarly to other unit testing frameworks.
- It is the first automated unit testing framework written in Python and is a component of the Python Testing Library.
- All developers who are beginning with Selenium Test Automation utilize the UnitTest Python Unit Testing Framework due to its simple installation and configuration.
- The test cases are named using the standard start with test_ (or end with _test) nomenclature.
- Similar to how JUnit testing with Selenium produces XML results, UnitTest reporting makes use of UnitTest-XML-reporting.
- The test code can occasionally be confusing because of the dated CamelCase naming convention that was taken from JUnit.
Testify Framework
- Nose and Unittest in Python Testify, a more Pythonic alternative to the Python Selenium framework, has taken its place.
- It is a more developed iteration of Unittest. Because Testify was developed after Unittest, the tests it was built on only need to be little modified to function properly with Testify.
- It primarily serves as a tool for automating Unit, System, and Integration testing. Java’s implementation of semantic testing in Testify is a success.
- Important features related to reporting and publishing can be found in Testify’s extensive plugin ecosystem.
- Automatic test discovery, class level setup, and fixture methods with easy syntax that only need to be executed once for the entire collection of test methods are further capabilities that Nose2 Framework shares.
Behave Framework
- With its most recent version being 1.2.7.dev1, Behave is a popular Python Selenium Framework that enables software development teams to carry out BDD testing. Developers, testers, and businesses can work together harmoniously thanks to Behavior Driven Development and agile software development methodologies.
- It performs similarly to the automation testing frameworks SpecFlow and Cucumber. It encourages Business-Driven Development by using Gherkin language to create test case scenarios for business applications (BDD).
- Behave differs from every other Python Selenium Framework since it is built on a BDD Framework that is fundamentally distinct.
- Behave has a few drawbacks, including the fact that it can only be used for Black-box testing and is not extensively supported in the PyCharm environment.
- The requirement for parallel testing is the key component of automated browser testing.
Nose2 Framework
- A sequel to Nose, Nose2 is a second Selenium Python Framework for dock tests and unit tests.
- It supports PyUnit by offering plugins for test execution, test case auto-discovery capability, and allows assembling and gathering of documents.
- Because it is based on Unit test, it is also frequently referred to as an extension of UnitTest.
- A Domain-Specific Language (DSL) for creating functional tests is called Nose2.
- Testing is made simple and quick by the ecosystem of built-in plugins.
- Additionally, it supports complicated initialization, automatic test case discovery, decorators, fixtures, classes, and parameterized testing modules. The documentation is scarce.
Lettuce Framework
- Lettuce is a Python and Cucumber-based testing framework for behavior-driven development.
- The goal of this Python Selenium framework was to make testing easy and engaging for its users. It is a free framework that is typically hosted on GitHub.
- Kryptonite is the name of the most recent version, 0.2.23. Using approachable keywords, it leverages the Gherkin language to define tests, test scenarios, and feature files.
- Similar to Behave Black box testing, it also supports additional testing kinds.
- For it to be successfully executed, all project stakeholders, including developers, testers, marketing managers, and project managers, must communicate promptly.
Robot Framework
- For implementing acceptance testing, Python developers rely on the well-liked open-source Robot Framework Selenium Framework.
- The automated testing approach also uses acceptance for Test-Driven Development (TDD) and Robotic Process Automation (RPA).
- The Python-based Robot Framework can also be used with Java- and.net-based IronPython.
- To develop test cases for the Robot Framework, utilize the Keyword style. It offers HTML reports and screenshots that are simple to read. The Robot framework offers a robust network of APIs that makes it easy to integrate third-party technologies.
- It’s been thoroughly recorded. For the maintenance of test readability, it uses a keyword-based, data-driven, and behavior-driven approach.
- All desktop, mobile, and web applications as well as Windows, macOS, and Linux operating systems are all compatible with it.
Conclusion
Selenium works best when developers automate testing and push changes as soon as possible. Even though Selenium is renowned for having a strong testing suite, the front-end technologies are constantly evolving, which presents the biggest difficulty for Selenium. We concentrated on a number of prominent Selenium Python testing frameworks currently available.
