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Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.
Allows automated test cases to be put in the documentation, so use examples double as test cases and vice versa. A TAP producer. Inspired by the Python module of the same name. As of August 2011, it can only handle one line test-cases and its exception handling facility cannot handle exceptions generated after other output. [386] matlab.unittest
Airavata: a distributed system software framework to manage simple to composite applications with complex execution and workflow patterns on diverse computational resources; Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge
Buildbot – Continuous integration testing framework; CruiseControl – Software continuous build framework; Go continuous delivery – Open source, cross-platform; GitLab Runner – Continuous integration; GitHub Actions – Free continuous integration service for open-source projects; Hudson – Continuous integration tool
PyObjC, a Python to Objective-C bridge that allows writing OS X software in Python; Robot Framework, a generic test automation framework for acceptance testing and acceptance test-driven development (ATDD) Setuptools, a package development process library designed to facilitate packaging Python projects by enhancing the Python distutils ...
PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...
tox is a command-line driven automated testing tool for Python, based on the use of virtualenv. It can be used for both manually-invoked testing from the desktop, or continuous testing within continuous integration frameworks such as Jenkins or Travis CI. [1] [2] Its use began to become popular in the Python community from around 2015. [3]
Effective layout of a test case ensures all required actions are completed, improves the readability of the test case, and smooths the flow of execution. Consistent structure helps in building a self-documenting test case. A commonly applied structure for test cases has (1) setup, (2) execution, (3) validation, and (4) cleanup.