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

Google Test vs pytest

OverviewComparisonAlternatives

Overview

Google Test
Google Test
Stacks16
Followers31
Votes0
GitHub Stars37.4K
Forks10.6K
pytest
pytest
Stacks4.0K
Followers307
Votes0
GitHub Stars13.2K
Forks2.9K

Google Test vs pytest: What are the differences?

Google Test and pytest are two popular testing frameworks used in software development. Let's explore the key differences between them.

  1. Language Support: Google Test is primarily used for testing C++ code, whereas pytest is specifically designed for testing Python code. This means that developers using Google Test can only write tests for C++ projects, while pytest supports testing in Python.

  2. Test Declaration: In Google Test, tests are declared using macros, which can make the code look slightly cluttered. On the other hand, pytest allows test declaration using plain Python functions, which results in more readable and clean test code.

  3. Test Discovery: Google Test requires explicit registration of tests, which means that each test must be manually added to the test suite. In contrast, pytest automatically discovers and executes all test files within a directory, eliminating the need for explicit registration.

  4. Fixtures and Parameterization: Both frameworks support the use of fixtures (setup and teardown functions) to manage test dependencies. However, pytest provides more advanced features for fixtures and also supports parameterization, allowing tests to be executed with different input parameters.

  5. Test Execution and Reporting: Google Test executes tests using an executable, and the test results are displayed in the console. pytest, on the other hand, runs tests directly from Python, and it offers comprehensive reporting features, including detailed information about the test results and coverage reports.

  6. Plugin Ecosystem: pytest has a vibrant plugin ecosystem, which allows developers to extend the framework's functionality by adding custom plugins. These plugins can provide additional features such as test parameterization, test ordering, and integration with other tools. Google Test, on the other hand, does not have a built-in plugin system.

In summary, Google Test is suitable for testing C++ code, uses macros for test declaration, requires explicit registration of tests, and provides basic test execution and reporting capabilities. On the other hand, pytest is designed for testing Python code, uses plain Python functions for test declaration, automatically discovers tests, offers advanced fixtures and parameterization features, provides comprehensive test reporting, and has a rich plugin ecosystem.

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Detailed Comparison

Google Test
Google Test
pytest
pytest

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.

A framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. It is a mature full-featured Python testing tool.

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
Auto-discovery; Modular fixtures
Statistics
GitHub Stars
37.4K
GitHub Stars
13.2K
GitHub Forks
10.6K
GitHub Forks
2.9K
Stacks
16
Stacks
4.0K
Followers
31
Followers
307
Votes
0
Votes
0
Integrations
Linux
Linux
PlatformIO
PlatformIO
Windows
Windows
C++
C++
Mac OS X
Mac OS X
Cygwin
Cygwin
PyCharm
PyCharm

What are some alternatives to Google Test, pytest?

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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