Nose extends the unittest library to make testing easier.

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.

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.

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.

Enable installed pytest plugins

Pytest plugin library to test http clients without contacting the real http server.

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.

Trompeloeil is a thread-safe header-only mocking framework for C++11/14.

CppUnit is the C++ port of the famous JUnit framework for unit testing. Test output is in XML for automatic testing and GUI based for supervised tests.

Cukinia is designed to help GNU/Linux-based embedded firmware developers run simple system-level validation tests on their firmware. Cukinia integrates well with embedded firmware generation frameworks such as Buildroot and Yocto, and can be run manually or by your favourite continuous integration framework. Among Cukinia features are:

• simple to use

• no dependencies other than BusyBox or GNU Coreutils

• easy integration with CI/CD pipelines.

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.

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.

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 simple and limited unit-test framework for C++.

The libfaketime library allows users to modify the system time that an application "sees". It is meant to be loaded using the dynamic linker's LD_PRELOAD environment variable. The faketime command provides a simple way to achieve this.

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.

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 software is a set of testing tools for GNU Guile projects with SRFI 64-based test suites. It comes with a command-line interface to run test collections, and a library that includes a test runner and helpers for writing tests.

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.

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

Fixtures provides a way to create reusable state, useful when writing Python tests.

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.

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.

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.