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 pytest-runner command that setup.py files can use to run tests.

Testtools extends the Python standard library unit testing framework to provide matchers, more debugging information, and cross-Python compatibility.

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

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.

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.

Kyua is a testing framework for infrastructure software. Kyua is lightweight and simple, and integrates well with various build systems and continuous integration frameworks. Kyua features an expressive test suite definition language, a safe runtime engine for test suites and a powerful report generation engine.

UnitTest++ is a lightweight unit testing framework for C++. It was designed to do test-driven development on a wide variety of platforms. Simplicity, portability, speed, and small footprint are all very important aspects of UnitTest++. UnitTest++ is mostly standard C++ and makes minimal use of advanced library and language features, which means it should be easily portable to just about any platform.

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.

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

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

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.

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

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, ...

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.

This package is a simple helper library for writing interactive tests.

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

Pylint is a Python source code analyzer which looks for programming errors, helps enforcing a coding standard and sniffs for some code smells (as defined in Martin Fowler's Refactoring book).

Pylint has many rules enabled by default, way too much to silence them all on a minimally sized program. It's highly configurable and handle pragmas to control it from within your code. Additionally, it is possible to write plugins to add your own checks.

Enable installed pytest plugins

Pytest is a testing tool that provides auto-discovery of test modules and functions, detailed info on failing assert statements, modular fixtures, and many external plugins.

This package provides a go test runner with output optimized for humans, JUnit XML for CI integration, and a summary of the test results.

pytest-sugar is a plugin for py.test that changes the default look and feel of py.test, using a progress bar and showing failures and errors instantly.

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