As Python has several features that enable automation, it is essential to use Python libraries for automation testing
Python is a very popular and trending programming language with a wide variety of Python libraries. Python is a simple, easy-to-debug, extensively used, object-oriented, open-source, high-performance programming language and it has many more advantages. Python has numerous Python libraries for automation that programmers utilize daily to solve challenges. Automation scripts written in Python language can help in DevOps automation. As a language, Python has several features that enable automation. Thus, it is essential to use Python libraries for automation testing to complete all automation and testing tasks. Let’s explore some of the top 10 Python libraries for automation testing.
It is one of the most popular automation frameworks in different languages. It is very concise so that it can focus on testing. You can write some other functions when using this platform. They are marked as fixtures and can be used to make the whole process reusable and scalable.
PyBuilder is an automation tool written in pure Python mainly targeting the Python ecosystem.
It supports the concept of dependency-based programming but also comes along with a strong plugin mechanism that allows the construction of build life-cycles similar to those known from other famous build tools like Apache Maven and Gradle.
A cool wrapper type library for Selenium in Python is Splinter. A splinter is an open-source tool for testing web applications using Python. It lets you automate browser actions, such as visiting URLs and interacting with their items. It makes writing python Selenium tests easier because it has a high-level API that makes it easy to develop automation scripts for your browser applications.
A robot is another widely-used Python testing framework that is used for Selenium test automation, RPA (Robotic Process Automation), and ATDD (Acceptance Test Driven Development). It is an open-source and extensible Python testing framework. It can be easily integrated with any other tool due to which it is ideal for creating flexible automation testing solutions.
Python Paramiko allows users to log in to a virtual machine’s server using automation scripts. It enables the users to perform ad-hoc commands by using an SSH client. All commands get executed in the connected remote machines.
It is a Python framework intended for functional testing, it provides fixtures, matches, test organization through test suites hierarchy and metadata (test/suite name, description, tags, properties, links), rich reporting features, and various report formats (JSON, XML, HTML, Junit).
One of the most popular Python libraries that many people use for extracting data from XML and HTML files is Beautiful Soup. Most developers usually have a series of frameworks that will contain some Python helper scripts. These scripts do utilize this tool efficiently.
Lettuce is another simple and easy-to-use behavior-driven automation tool based on Cucumber and Python. The main objective of Lettuce is to focus on the common tasks of behavior-driven development, making the work simpler and entertaining.
PyUnit (also called unit test) is the default Python testing framework that is a part of the Python standard library. The Python Testing Framework is inspired by the JUnit framework. It is a part of the unit test module that has shipped since Python version 2.1 was released.
Nose2 is a Python unit testing framework and a successor of the Nose framework. It is based on the unit test hence; it is also referred to as an extension to the unit test. Nose2 adds support to the PyUnit framework by providing plugins for test execution, enabling automatic discovery of test cases, and collecting documentation.