Mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This library is now part of Python (since Python 3.3), available via the unittest.mock module.

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.

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

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

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

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

This package provides a Python library intended for use in automated tests. One difficulty when testing software is that the code under test might need to read or write to files in the local file system. If the file system is not set up in just the right way, it might cause a spurious error during the test. The pyfakefs library provides a solution to problems like this by mocking file system interactions. In other words, it arranges for the code under test to interact with a fake file system instead of the real file system. The code under test requires no modification to work with pyfakefs.

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.

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

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).

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

Subunit is a streaming protocol for test results. Subunit comes with command line filters to process a subunit stream and language bindings for Python, C, C++ and shell. Bindings are easy to write for other languages.

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

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.

CxxTest is a unit testing framework for C++ that is similar in spirit to JUnit, CppUnit, and xUnit. CxxTest does not require precompiling a CxxTest testing library, it employs no advanced features of C++ (e.g. RTTI) and it supports a very flexible form of test discovery.

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.

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

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

CUnit is a lightweight system for writing, administering, and running unit tests in C. It provides C programmers with basic testing functionality with a flexible variety of user interfaces.

Mutest aims to be a small unit testing library for C projects, with an API heavily modelled on high level Behavior-Driver Development frameworks like Jasmine or Mocha.

This package provides a py.test plugin supplying fixtures and markers to simplify testing of asynchronous tornado applications.

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.

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.