Gcovr provides a utility for managing the use of the GNU gcov utility and generating summarized code coverage results. It is inspired by the Python coverage.py package, which provides a similar utility for Python.

This plugin provides a set of fixtures and utility functions to start service processes for your tests with pytest.

This package provides a Pytest plugin to run Xvfb for tests.

This package provides a Pytest plugin to run pydocstyle.

This package provides a plugin for Pytest that enables a CSV output mode for Pytest. It can be enabled via the --csv option it adds to the Pytest command line interface (CLI).

Coveralls.io is a service for publishing code coverage statistics online. This package provides seamless integration with coverage.py (and thus pytest, nosetests, etc...) in Python projects.

Tox is a generic virtualenv management and test command line tool. It can be used to check that a package installs correctly with different Python versions and interpreters, or run tests in each type of supported environment, or act as a frontend to continuous integration servers.

This package provides utilities for production code that work well with python-approvaltests.

This package provides Pytest plugin which splits the test suite to equally sized sub suites based on test execution time.

Cram is a functional testing framework for command line applications. Cram tests look like snippets of interactive shell sessions. Cram runs each command and compares the command output in the test with the command’s actual output.

This package provides a flake8 plugin to lint pandas code in an opinionated way.

This package provides a plugin for the Pytest framework that allows developers to control unit tests that require access to data from the internet.

pynose is a maintained successor of deprecated nose unittest runner. Changes over nose:

• fixes AttributeError: module 'collections' has no attribute 'Callable'

• fixes AttributeError: module 'inspect' has no attribute 'getargspec'

• fixes ImportError: cannot import name '_TextTestResult' from 'unittest'

• fixes RuntimeWarning: TestResult has no addDuration method

• fixes DeprecationWarning: pkg_resources is deprecated as an API

• fixes all flake8 issues from the original nose

• replaces the imp module with the newer importlib module

• the default logging level now hides INFO logs for less noise

• adds --capture-logs for hiding output from all logging levels

• adds --logging-init to use logging.basicConfig(level)

• the -s option is always active to see the output of print()

• adds --capture-output for hiding the output of print()

• adds --co as a shortcut to using --collect-only

Austin is a Python frame stack sampler for CPython. Samples are collected by reading the CPython interpreter virtual memory space to retrieve information about the currently running threads along with the stack of the frames that are being executed. Austin's binary output can be piped into any other external or custom tools for further processing.

This package provides a unit tests framework backed by ML features and working in two modes:

• Testing: Test result in tmp_path is compared against a known reference. Any deviation in the files, causes a fail.

• Learning: The test result in tmp_path is taken as reference and is copied to the reference folder, which should be committed to version control and kept as reference.

This package provides a pytest fixture that will group the tests into rounds that are calibrated to the chosen timer.

nox is a command-line tool that automates testing in multiple Python environments, similar to tox. Unlike tox, Nox uses a standard Python file for configuration.

A pytest plugin to create a tmpdir containing a preconfigured set of files and/or directories.

This package provides a pytest plugin that checks the long description of the project to ensure it renders properly.

This package provides a rewrite of the builtin doctest module which leverages the Python AST instead of REGEXPs.

This package analyses Python test suites and reports how much of the code is covered by them. This tool is part of the Codacy suite for analysing code quality.

This is a py.test plugin to facilitate the generation and comparison of data arrays produced during tests, in particular in cases where the arrays are too large to conveniently hard-code them in the tests.

This package provides fixture configuration utilities for the py.test testing framework.

This package implements a functionality to share a state / intermediate results across test steps.