This package provides a Python library for design by contract (DbC) and checking values, exceptions, and side-effects. In a nutshell, deal implements functionality to write bug-free code. By adding a few decorators to the code, providing free tests, static analysis, formal verification, and much more.

This package provides a py.test plugin providing fixtures and markers to simplify testing of asynchronous tornado applications.

slotscheck is a tool to validate Python class __slots__.

This package provides a Pytest extension for sharding tests at the granularity of individual test cases, which can be run in parallel and on multiple machines.

pytest-metadata is a pytest plugin that provides access to test session metadata.

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

Aioresponses is a helper to mock/fake web requests in python aiohttp package. For requests module there are a lot of packages that help us with testing (eg. httpretty, responses, requests-mock). When it comes to testing asynchronous HTTP requests it is a bit harder (at least at the beginning). The purpose of this package is to provide an easy way to test asynchronous HTTP requests.

This package provides a pytest plugin to enable format checking with the Python code formatter "black".

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.

This package provides a plugin for testing Cython extension modules.

The pytest-mockito plugin provides base Mockito fixtures for Pytest. It covers the main entry points of the Mockito mocking framework and makes it easy to undo any monkey patching.

The fixtures are:

• when

• when2

• expect

• patch

• unstub

• spy2

This package provides a pytest plugin for aiohttp support.

Mypy is an optional static type checker for Python that aims to combine the benefits of dynamic typing and static typing. Mypy combines the expressive power and convenience of Python with a powerful type system and compile-time type checking. Mypy type checks standard Python programs; run them using any Python VM with basically no runtime overhead.

green is a Python test runner that describes itself as:

Clean

Low redundancy in output. Result statistics for each test is vertically aligned.

Colorful

Terminal output makes good use of color when the terminal supports it.

Fast

Tests run in independent processes (one per processor by default).

Powerful

Multi-target and auto-discovery support.

Traditional

It uses the normal unittest classes and methods.

Descriptive

Multiple verbosity levels, from just dots to full docstring output.

Convenient

Bash-completion and ZSH-completion of options and test targets.

Thorough

Built-in integration with coverage.

This package provides a Pytest plugin to run pydocstyle.

This package enables dynamic orchestration of Celery environments for testing tasks in isolated conditions, leveraging Docker & pytest-docker-tools for environment simulation.

This package provieds a flake8 and pylama plugin that checks the ordering of import statements.

Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like Vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused.

This package provides a plugin to test Python click interfaces with pytest.

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 is a meta-package that pulls in the dependencies that are used by astropy related packages.

This package provides a pytest plugin for testing console scripts.

This package contains hypothesis strategies for generating Python programs, something like CSmith, a random generator of C programs.

Hiro provides context managers and utilities to either freeze, accelerate or decelerate and jump between different points in time. Functions exposed by the standard library’s time, datetime and date modules are patched within the contexts exposed.