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

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-perf makes it easy to compare works by creating two installs, the control and the experiment, and measuring the performance of some Python code against each. Under the hood, it uses the pip-run command to install from the upstream main branch (e.g. https://github.com/jaraco/pytest-perf) for the control and from . for the experiment. It then runs each of the experiments against each of the environments.

tidyall makes a lot of code tidiers and validators available from a single unified interface. You can run tidyall on a single file or on an entire project hierarchy, and configure which tidiers/validators are applied to which files. tidyall will back up files beforehand, and for efficiency will only consider files that have changed since they were last processed.

Note that if you see some missing tidier or validator modules error, you can let tidyall load them after install them. For example, one can run guix shell perl-perl-tidy perl in advance to load Perl::Tidy.

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.

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.

Modified version of uClibc for symbolic execution of Unix userland software. This library can only be used in conjunction with the klee package.

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.

Catch2 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.

Parameterized is a Python library that aims to fix parameterized testing for every Python test framework. It supports nose, py.test, and unittest.

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

Pytest-localserver is a plugin for the pytest testing framework which enables you to test server connections locally.

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.

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.

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.

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.

This package provides a Pytest plugin for manipulating test data directories and files.

Pytest plugin for checking Python source code with pyflakes.

Pytest-examples provides functionality for testing Python code examples in docstrings and markdown files, with its main features being:

• lint code examples using ruff and black

• run code examples

• run code examples and check print statements are inlined correctly in the code

• It can also update code examples in place to format them and insert or update print statements

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

actionlint is a static checker for GitHub Actions workflow files. Features include:

• Syntax check for workflow files to check unexpected or missing keys following workflow syntax

• Strong type check for ${{ }} expressions to catch several semantic errors like access to not existing property, type mismatches, ...

• Actions usage check to check that inputs at with: and outputs in steps.{id}.outputs are correct

• Reusable workflow check to check inputs/outputs/secrets of reusable workflows and workflow calls

• shellcheck and pyflakes integrations for scripts at run:

• Security checks; script injection by untrusted inputs, hard-coded credentials

• Other several useful checks; glob syntax validation, dependencies check for needs:, runner label validation, cron syntax validation, ...

virtest is a small header-only test framework for C++. It grew out of the Vc project.