The pytest-xdist plugin extends py.test with some unique test execution modes: parallelization, running tests in boxed subprocesses, the ability to run tests repeatedly when failed, and the ability to run tests on multiple Python interpreters or platforms. It uses rsync to copy the existing program code to a remote location, executes there, and then syncs the result back.

PyHamcrest is a framework for writing matcher objects, allowing you to declaratively define "match" rules.

CppUnit is the C++ port of the famous JUnit framework for unit testing. Test output is in XML for automatic testing and GUI based for supervised tests.

This package provides a pytest plugin for generating NUnit3 test result XML output

Behave is a tool for behavior-driven development in python. Behavior-driven development (or BDD) is an agile software development technique that encourages collaboration between developers, QA and non-technical or business participants in a software project. Behave uses tests written in a natural language style, backed up by Python code.

This package provides a pytest plugin for writing tests for mypy plugins.

Mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This library is now part of Python (since Python 3.3), available via the unittest.mock module.

Nose2 is the next generation of nicer testing for Python, based on the plugins branch of unittest2. Nose2 aims to improve on nose by providing a better plugin api, being easier for users to configure, and simplifying internal interfaces and processes.

doctest is a single-header testing framework for C++11 and later. It has been designed to be fast, light and unintrusive.

CxxTest is a unit testing framework for C++ that is similar in spirit to JUnit, CppUnit, and xUnit. CxxTest does not require precompiling a CxxTest testing library, it employs no advanced features of C++ (e.g. RTTI) and it supports a very flexible form of test discovery.

Theft is a library for property-based testing.

Google Test features an XUnit test framework, automated test discovery, death tests, assertions, parameterized tests and XML test report generation.

This package provides a simple and limited unit-test framework for C++.

clitest is a portable shell script that performs automatic testing of Unix command lines.

ATF, or Automated Testing Framework, is a collection of libraries to write test programs in C, C++ and POSIX shell.

The ATF libraries offer a simple API. The API is orthogonal through the various bindings, allowing developers to quickly learn how to write test programs in different languages.

ATF-based test programs offer a consistent end-user command-line interface to allow both humans and automation to run the tests.

ATF-based test programs rely on an execution engine to be run and this execution engine is not shipped with ATF. Kyua is the engine of choice.

This package provides a py.test plugin that aborts hanging tests after a timeout has been exceeded.

Check is a unit testing framework for C. It features a simple interface for defining unit tests, putting little in the way of the developer. Tests are run in a separate address space, so Check can catch both assertion failures and code errors that cause segmentation faults or other signals. The output from unit tests can be used within source code editors and IDEs.

Trompeloeil is a thread-safe header-only mocking framework for C++11/14.

Pytest plugin for checking Python source code with pyflakes.

Testpath is a collection of utilities for Python code working with files and commands. It contains functions to check things on the file system, and tools for mocking system commands and recording calls to those.

Catch stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.

Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.

Testscenarios provides clean dependency injection for Python unittest style tests.

Coverage measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.