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CPPUnit VS pytest

Compare CPPUnit VS pytest and see what are their differences

CPPUnit logo CPPUnit

CppUnitย is the C++ port of the JUnit framework for unit testing.

pytest logo pytest

Javascript Testing Framework
  • CPPUnit Landing page
    Landing page //
    2023-10-03
  • pytest Landing page
    Landing page //
    2023-10-15

CPPUnit features and specs

  • Mature Framework
    CPPUnit is a well-established framework based on the xUnit architecture, which has been used for many years as the standard for C++ unit testing, offering robust and reliable testing capabilities.
  • Integration with Build Systems
    CPPUnit integrates well with popular build systems and IDEs, such as GNU Make and Visual Studio, facilitating streamlined build and test processes.
  • Extensive Documentation
    The framework has comprehensive documentation and community support, making it easier for developers to solve issues and understand its features.
  • Cross-Platform Support
    CPPUnit is available on multiple platforms, including Windows, macOS, and Linux, allowing for consistent testing across different operating environments.

Possible disadvantages of CPPUnit

  • Limited Modern Features
    Compared to more recent testing frameworks, CPPUnit lacks some modern features such as lambda expressions and template-based testing, which can limit its flexibility.
  • Verbose Test Code
    Writing tests in CPPUnit can be verbose and cumbersome, requiring more boilerplate code compared to newer frameworks.
  • Declining Popularity
    As newer frameworks like Google Test have emerged, CPPUnit's popularity has declined, potentially leading to reduced community activity and fewer updates.
  • Complex Setup
    Initial setup and configuration of CPPUnit can be complex and time-consuming, particularly for developers who are new to the framework.

pytest features and specs

  • Easy to Use
    Pytest is designed to be simple and easy to use, with minimal boilerplate code required to write tests. Its straightforward syntax allows users to quickly write and understand tests.
  • Extensive Plugin System
    Pytest has a flexible and powerful plugin architecture, with a wide range of community-maintained plugins available, allowing for easy customization and extension of its functionality.
  • Detailed Information on Failures
    Pytest provides detailed and informative feedback on failures, enhancing the debugging process by highlighting where and why a test failed.
  • Fixture Support
    Pytest's fixture system allows for easy setup and teardown of test environments, encouraging the reuse of setup code and reducing code duplication.
  • Compatibility
    Pytest is compatible with standard Python testing frameworks such as unittest, allowing for easy migration and integration of existing tests.

Possible disadvantages of pytest

  • Steeper Learning Curve for Advanced Features
    While basic usage is straightforward, mastering advanced pytest features, such as writing custom plugins and fixtures, can have a steeper learning curve.
  • Performance Overhead
    For very large projects, the additional features and flexibility of pytest can introduce some performance overhead when running tests, compared to simpler testing frameworks.
  • Complexity in Parameterized Testing
    While pytest supports parameterized testing, setting up and managing complex parameterizations can become cumbersome and might require additional abstraction layers.
  • Plugin Conflicts
    With a vast ecosystem of plugins, there is a potential for conflicts or compatibility issues between different plugins, especially when they modify similar pytest behaviors.

CPPUnit videos

CS2103 - Setting up CppUnit with Visual Studio 2010

pytest videos

getting started with pytest (beginner - intermediate) anthony explains #518

More videos:

  • Review - Python Code Review: Adding Pytest Tests to an Existing Python Web Scraper
  • Review - pytest: everything you need to know about fixtures (intermediate) anthony explains #487

Category Popularity

0-100% (relative to CPPUnit and pytest)
HR
100 100%
0% 0
Automated Testing
32 32%
68% 68
Attendance Management Software
Testing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CPPUnit and pytest

CPPUnit Reviews

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pytest Reviews

25 Python Frameworks to Master
Pytest is a widely adopted testing framework that is designed to be easy to use and extend. It helps you to write elegant tests in both small and complex Python codebases.
Source: kinsta.com

Social recommendations and mentions

Based on our record, pytest seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CPPUnit mentions (0)

We have not tracked any mentions of CPPUnit yet. Tracking of CPPUnit recommendations started around Mar 2021.

pytest mentions (5)

  • An Introduction to Testing with Django for Python
    Pytest is an excellent alternative to unittest. Even though it doesn't come built-in to Python itself, it is considered more pythonic than unittest. It doesn't require a TestClass, has less boilerplate code, and has a plain assert statement. Pytest has a rich plugin ecosystem, including a specific Django plugin, pytest-django. - Source: dev.to / over 1 year ago
  • How I Added Continuous Integration (CI) to a C++ Project
    For this lab exercise I had the opportunity to add unit tests to a classmate's project and experience their CI workflow. For this exercise I worked on go-go-web by kliu57. Go-Go Web is written in Python and uses the pytest testing framework. This was my first time writing tests for pytest, but I found the pytest docs helpful. However, more helpful was the information provided in the associated issue and the tests... - Source: dev.to / almost 2 years ago
  • CI/CD Part 1: Unit/Integration Testing
    This week, in a setup for a CI/CD pipeline, I added unit and integration testing using Pytest to my Python CLI and utilized pytest-cov for generating a coverage report. As always, the merged commit for changes to the repo can be found here. - Source: dev.to / almost 2 years ago
  • Testing in Python
    After looking through the various unit testing tools available for Python like pytest, unittest (built-in), and nose, I went with pytest for its simlpicity and ease of use. - Source: dev.to / almost 2 years ago
  • Testing and Refactoring With pytest and pytest-cov
    Up until now we've been using python's unittest module. This was chosen as a first step since it comes with python out of the box. Now that we've gone over dev dependencies I think it's a good time to look at pytest as a unit test alternative. I highly recommend getting accustomed to pytest as it's used quite often in the python ecosystem to handle testing for projects. It's also a bit more user friendly in how it... - Source: dev.to / almost 2 years ago

What are some alternatives?

When comparing CPPUnit and pytest, you can also consider the following products

SimpleTest - SimpleTestย is an open source unit test framework for the PHP programming language.

RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.

EasyMock - EasyMock provides dynamically generated Mock objects at runtime, without having to implement them.

unittest - Testing Frameworks

Google Test - Google Test is a unit testing for C++ programming language that is based on xUnit architecture.

JUnit - JUnit is a simple framework to write repeatable tests.