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.

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.

This package provides relaxed test discovery for pytest.

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.

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

Pedansee checks C source files for compliance with a particular programming style. The style is currently defined by the pedansee source code in the form of functions which walk each source file’s syntax tree. You can modify some aspects of this style through the use of regular expressions.

Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.

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.

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.

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.

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

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

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.

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

Rapidcheck is a property based testing framework for C++. It works by generating random data to try and find a case breaks your given pre-condition.

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

Testpath is a collection of utilities for Python code working with files and commands. It contains functions to check things on the file system, and tools for mocking system commands and recording calls to those.

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

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.

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.

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.

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

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.

Flaky is a plugin for nose or py.test that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to @skip, they can be automatically retried.