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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Testing Frameworks
  5. Google Test vs NUnit

Google Test vs NUnit

OverviewComparisonAlternatives

Overview

NUnit
NUnit
Stacks1.6K
Followers140
Votes0
Google Test
Google Test
Stacks16
Followers31
Votes0
GitHub Stars37.4K
Forks10.6K

Google Test vs NUnit: What are the differences?

  1. Key Difference 1: Design Philosophy - Google Test (also known as gTest) is designed to support C++ testing, while NUnit is designed specifically for .NET languages like C#. This means that gTest provides more features and flexibility for C++ developers, including advanced mocking and parameterized tests. NUnit, on the other hand, focuses on providing a simple and intuitive testing framework for .NET applications.
  2. Key Difference 2: Assertions and Matchers - Google Test uses assertions to check if a condition is met, while NUnit uses matchers to verify test expectations. Assertions in gTest can include custom failure messages and have more advanced features such as death tests. NUnit matchers provide a more expressive assertion syntax that allows for more detailed test failure messages.
  3. Key Difference 3: Testing Frameworks and Dependencies - Google Test is a standalone testing framework that can be used independently of other tools or frameworks. NUnit, on the other hand, is often used in conjunction with other testing frameworks like Selenium or Unity for automated testing in .NET applications. NUnit also provides built-in support for data-driven tests using external data sources.
  4. Key Difference 4: Test Fixture Setup - In Google Test, the test fixture setup code is run before each individual test, ensuring a clean and isolated state for each test case. NUnit, on the other hand, allows for more flexibility in test fixture setup by providing setup methods that can be executed once for multiple tests or for the entire test fixture.
  5. Key Difference 5: Test Discovery and Execution - Google Test uses a test discovery mechanism that relies on macros to identify test cases and automatically generate test runners. NUnit uses reflection to discover and execute test cases, providing a more dynamic and flexible approach to test discovery.
  6. Key Difference 6: Continuous Integration and Report Generation - Google Test provides built-in support for generating XML-based test reports that can be easily integrated into continuous integration systems like Jenkins. NUnit also supports XML-based test reports, but it also offers more advanced features like category-based test selection and parallel test execution to optimize test runs.

In Summary, Google Test is a feature-rich testing framework designed for C++ development, while NUnit is a simpler and more focused framework for testing .NET applications, providing a more expressive assertion syntax and integration with other tools and frameworks.

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Detailed Comparison

NUnit
NUnit
Google Test
Google Test

An evolving, open source framework designed for writing and running tests in Microsoft .NET programming languages.It is an aspect of test-driven development , which is part of a larger software design paradigm known as Extreme Programming

It is a unit testing library for the C++ programming language, based on the xUnit architecture. The library is released under the BSD 3-clause license. It can be compiled for a variety of POSIX and Windows platforms, allowing unit-testing of C sources as well as C++ with minimal source modification.

-
An xUnit test framework; Test discovery; A rich set of assertions; User-defined assertions; Death tests; Fatal and non-fatal failures; Value-parameterized tests; Type-parameterized tests; Various options for running the tests; XML test report generation
Statistics
GitHub Stars
-
GitHub Stars
37.4K
GitHub Forks
-
GitHub Forks
10.6K
Stacks
1.6K
Stacks
16
Followers
140
Followers
31
Votes
0
Votes
0
Integrations
No integrations available
Linux
Linux
PlatformIO
PlatformIO
Windows
Windows
C++
C++
Mac OS X
Mac OS X
Cygwin
Cygwin

What are some alternatives to NUnit, Google Test?

Robot Framework

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Cucumber

Cucumber

Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.

TestCafe

TestCafe

It is a pure node.js end-to-end solution for testing web apps. It takes care of all the stages: starting browsers, running tests, gathering test results and generating reports.

Spock Framework

Spock Framework

It is a testing and specification framework for Java and Groovy applications. What makes it stand out from the crowd is its beautiful and highly expressive specification language. It is compatible with most IDEs, build tools, and continuous integration servers.

Selenide

Selenide

It is a library for writing concise, readable, boilerplate-free tests in Java using Selenium WebDriver.

Capybara

Capybara

Capybara helps you test web applications by simulating how a real user would interact with your app. It is agnostic about the driver running your tests and comes with Rack::Test and Selenium support built in. WebKit is supported through an external gem.

PHPUnit

PHPUnit

PHPUnit is a programmer-oriented testing framework for PHP. It is an instance of the xUnit architecture for unit testing frameworks.

Detox

Detox

High velocity native mobile development requires us to adopt continuous integration workflows, which means our reliance on manual QA has to drop significantly. It tests your mobile app while it's running in a real device/simulator, interacting with it just like a real user.

Imagium

Imagium

Imagium provides AI based visual testing solution for various forms of testing. It makes the job easier for QA Automation, Mobile Testers, DevOps and Compliance teams. Imagium is easy to integrate with any programing language

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