This package provides relaxed test discovery for pytest.

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.

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

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 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 writing tests for mypy 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.

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.

The pytest-freezegun plugin wraps tests and fixtures with freeze_time, which controls (i.e., freeze) the time seen by the test.

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.

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.

actionlint is a static checker for GitHub Actions workflow files. Features include:

• Syntax check for workflow files to check unexpected or missing keys following workflow syntax

• Strong type check for ${{ }} expressions to catch several semantic errors like access to not existing property, type mismatches, ...

• Actions usage check to check that inputs at with: and outputs in steps.{id}.outputs are correct

• Reusable workflow check to check inputs/outputs/secrets of reusable workflows and workflow calls

• shellcheck and pyflakes integrations for scripts at run:

• Security checks; script injection by untrusted inputs, hard-coded credentials

• Other several useful checks; glob syntax validation, dependencies check for needs:, runner label validation, cron syntax validation, ...

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

pytest-perf makes it easy to compare works by creating two installs, the control and the experiment, and measuring the performance of some Python code against each. Under the hood, it uses the pip-run command to install from the upstream main branch (e.g. https://github.com/jaraco/pytest-perf) for the control and from . for the experiment. It then runs each of the experiments against each of the environments.

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.

Discover provides test discovery for unittest, a feature that has been backported from Python 2.7 for Python 2.4+.

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.

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

mbake is a Makefile formatter and linter,which is configurable via a TOML file. It intelligently deals with .PHONY declarations and line continuations, and ensures consistent formatting and style for your Makefile.

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

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.

Nose extends the unittest library to make testing easier.

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.