lit is a portable tool for executing LLVM and Clang style test suites, summarizing their results, and providing indication of failures.

PICT is a pairwise testing tool that generates test cases and test configurations. With PICT, you can generate tests that are more effective than manually generated tests and in a fraction of the time required by hands-on test case design. PICT runs as a command line tool. It takes a model file detailing the parameters of the interface as an input and generates a compact set of parameter value choices that represent the test cases you should use to get comprehensive combinatorial coverage of your parameters.

Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.

This package provides a next-generation test runner for Rust.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

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

pytest-mypi is a static type checker plugin for Pytest that runs the mypy static type checker on your source files as part of a Pytest test execution.

Testrepository provides a database of test results which can be used as part of a developer's workflow to check things such as what tests have failed since the last commit or what tests are currently failing.

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.

Pytest-xprocess is an experimental py.test plugin for managing processes across test runs.

Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It’s based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow.

CBehave is a behavior-driven development implemented in C. It allows the specification of behaviour scenarios using a given-when-then pattern.

checkmake is an experimental tool for linting and checking Makefiles. It allows for a set of configurable rules being run against a Makefile or a set of *.mk files.

FreezeGun is a library that allows your python tests to travel through time by mocking the datetime module.

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

Testscenarios provides clean dependency injection for Python unittest style tests.

mbake is a Makefile formatter and linter,which is configurable via a TOML file. It intelligently deals with .PHONY declarations and line continuations, and ensures consistent formatting and style for your Makefile.

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

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

Cmocka is a unit testing framework for C with support for mock objects. It only requires the standard C library, and works with different compilers. Cmocka supports several different message output formats like Test Anything Protocol, Subunit, xUnit XML or the original cmockery output format.

This package provides a pytest-runner command that setup.py files can use to run tests.

snitch aims to be a simple, cheap, non-invasive, and user-friendly testing framework. The design philosophy is to keep the testing API lean, including only what is strictly necessary to present clear messages when a test fails.

Discover provides test discovery for unittest, a feature that has been backported from Python 2.7 for Python 2.4+.

CoverageTestRunner is a python module for running unit tests and failing them if the unit test module does not exercise all statements in the module it tests.