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This package provides a certificate store containing only the Let's Encrypt root and intermediate certificates. It is intended to be used within Guix.
Testresources is an extension to Python's unittest to allow declarative use of resources by test cases.
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.
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.
Catch stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.
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.
Pytest plugin for checking Python source code with pyflakes.
The pytest-freezegun plugin wraps tests and fixtures with freeze_time, which controls (i.e., freeze) the time seen by the test.
Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.
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.
Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.
ATF, is a collection of libraries to write test programs in C, C++ and POSIX shell.
The ATF libraries offer a simple API 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, allowing execution to both humans and automation.
ATF-based test programs rely on a third-party execution engine to be run, shipped separatedly. Kyua is the engine of choice.
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.
Testrepository provides a database of test results which can be used as part of a developer's workflow to check things such as what tests have failed since the last commit or what tests are currently failing.
µnit is a small testing framework for C with nested test suites, parameterized tests, timing of the wall clock and CPU time, reproducible random number generation, and more.
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.
doctest is a single-header testing framework for C++11 and later. It has been designed to be fast, light and unintrusive.
Pytest-xprocess is an experimental py.test plugin for managing processes across test runs.
The googlebenchmark C++ library support the benchmarking of functions, similar to unit tests.
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.
PyHamcrest is a framework for writing matcher objects, allowing you to declaratively define "match" rules.
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.