This plugin installs a mocker fixture which is a thin-wrapper around the patching API provided by the mock package, but with the benefit of not having to worry about undoing patches at the end of a test. The mocker fixture has the same API as mock.patch, supporting the same arguments.

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

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

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.

pytest-random-order is a Pytest plugin that randomizes the order of tests. This can be useful to detect a test that passes just because it happens to run after an unrelated test that leaves the system in a favourable state. The plugin allows user to control the level of randomness they want to introduce and to disable reordering on subsets of tests. Tests can be rerun in a specific order by passing a seed value reported in a previous test run.

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

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.

KLEE is a symbolic virtual machine built on top of the LLVM compiler infrastructure.

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 provides testing utility modules for testing JSON APIs with Behave.

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

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

Greatest is a single-header test system for C, including macros for defining tests, grouping them into suites, and providing a test runner. It is quite unopinionated with most of its features being optional.

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.

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.

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

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

Cppcheck is a static code analyzer for C and C++. Unlike C/C++ compilers and many other analysis tools it does not detect syntax errors in the code. Cppcheck primarily detects the types of bugs that the compilers normally do not detect. The goal is to detect only real errors in the code (i.e. have zero false positives).

This plugin helps to use fixtures in pytest.mark.parametrize, inspied by pytest-lazy-fixture.

Codecov collects code coverage reports from code written in Python, Java, C/C++, R, and more, and uploads it to the codecov.io service.

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

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.

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.