10 Best Open-Source Test Automation Frameworks Of 2023

The code can be used together with selenium, watir, capybara, It supports languages ​​like Python, PHP, Perl, .NET, Scala, Groovy, it focuses on the end-user experience. API testing is based on the Freemarker template. It allows a lot of flexibility in generating REST requests and the responses are dynamically changed by the incoming arguments.

Open-source test automation frameworks


Selenium is probably the most popular open source framework for automating web application testing. Selenium is the basis for a large number of other testing tools. Across platforms and browsers. It supports a wide range of languages ​​such as C#, Java, Python, PHP, Ruby. Highly extensible through a wide range of libraries and APIs to suit everyone’s needs and requirements. Flexible and maintainable. Ability to write more advanced test scripts to meet different levels of complexity.


Carina is a Java-based test automation framework that is built on top of the most popular open-source solutions, which makes it possible to reduce dependence on a specific technology stack. It unifies all testing layers: mobile applications, WEB applications, REST services, databases. Supports all popular browsers and mobile devices reuses test automation code between IOS/Android.

Google EarlGrey

EarlGrey is a native iOS UI automation test framework that allows you to write clear and concise tests. Powerful built in UI synchronization, network requests, animations, various queues. Tests are easier to write and easier to maintain. Synchronization ensures that the user interface is stable before any action is taken. All interactions take place only on visible elements.


Cucumber is a data driven development tool used to write acceptance tests for web applications. Allows code to be reused in tests. Both specifications and test documentation are uploaded in a single up-to-date document. It can be useful to involve business stakeholders or other people unfamiliar with testing who cannot easily read the code because the test reports are written in business-readable English. Automation of functional verification in an easy-to-read and understandable format.


Is a powerful web automation testing tool based on the Ruby family of libraries. It supports your web application no matter what language it is developed in Extensible through a set of different APIs. Manual traversal is combinable with commands in Ruby, it gives you the ability to connect to databases, read data files and tables, export XML, and structure your code as reusable libraries.


Appium is designed for testing mobile applications. It is built with the idea that you should not recompile or modify the application in any way in order to test it. You should also not be locked into a particular language or framework when running your tests.

Easy setup process

Cross platform allows you to test on multiple platforms using the same API. When using vendor provided automation frameworks under the hood, there is no need to compile any Appium-specific or third-party code or frameworks into your application. This means that you are testing the same application that you are shipping. The user is free to use any test runner and test framework they want client libraries are simply HTTP clients and can be embedded in your code, allowing you to manage your test environment in any way you like.

Robot framework

Ts core framework is written in Python, but it also supports IronPython, Jython, and Py a keyword-driven approach to simplify tests and make them readable. A rich ecosystem including various APIs consisting of generic test libraries and tools that can be developed as stand-alone projects.

Apache JMeter

Apache JMeter is designed specifically for load testing and can be used to test performance on both static and dynamic resource, web dynamic applications. Simulates a large load on a server, network or object to test its strength or analyze and measure overall performance under different types of loads.


Dynamic HTML test reports that are ready for presentation. Complete portability and pure Java. Caching and offline analysis playback of test results.


Highly extensible natively by using Python and Java libraries and various APIs. Can be natively extended using Python or Java Additional languages ​​supported via remote interface. Clear test reports. Detailed logs. Easy integration. Ability to load and test performance of many different types of applications, servers, protocols.