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.

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

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

This Pytest plugin enables creating Pytest parametrize decorators from external files.

This Pytest plugin automatically detects and loads environment variables from a .env file before running tests.

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.

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.

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.

The pytest-freezegun plugin wraps tests and fixtures with freeze_time, which controls (i.e., freeze) the time seen by the test.

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

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, ...

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

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.

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-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.

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

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

Enable installed pytest plugins

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.

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.

This plugin makes it simple to test general data, images, files, and numeric tables by saving expected data in a data directory (courtesy of pytest-datadir) that can be used to verify that future runs produce the same data.

MiniMock is a simple library for building mock objects with doctest.

umockdev mocks hardware devices for creating integration tests for hardware related libraries and programs. It also provides tools to record the properties and behaviour of particular devices, and to run a program or test suite under a test bed with the previously recorded devices loaded.