This package provides a module for monitoring the memory usage of a Python program.

This package provides Pytest extension which disables all network calls flowing through Python's socket interface

This is a plugin to facilitate image comparison for Matplotlib figures in Pytest.

This plugin package provides a way to include information about the system, Python installation, and select dependencies in the header of the output when running pytest. It can be used with packages that are not affiliated with the Astropy project, but is optimized for use with astropy-related projects.

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

Beartype aims to be a very fast runtime type checking tool written in pure Python.

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

The pyux utility detects API changes in Python libraries.

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

This package provides a pytest plugin for generating HTML reports.

This package is a pytest plugin for managing VCR.py cassettes.

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 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.

Pytest uses one of four different spellings of parametrize. This plugin allows you to use all four.

This package provides a pytest plugin to re-run tests to eliminate flaky failures.

This package provides an alternative to Regular Expressions with a more intuitive syntax.

Avocado is a set of tools and libraries to help with automated testing, i.e. a test framework. Native tests are written in Python and they follow the unittest pattern, but any executable can serve as a test. The following output formats are supported:

xUnit

an XML format that contains test results in a structured form, and are used by other test automation projects, such as Jenkins.

JSON

a widely used data exchange format. The JSON Avocado plugin outputs job information, similarly to the xunit output plugin.

TAP

Provides the basic TAP (Test Anything Protocol) results. Unlike most existing Avocado machine readable outputs this one is streamlined (per test results).

This package provides a Pytest plugin for testing Jupyter notebooks.

This package provides a plugin to fake subprocess for Pytest.

This package contains a plugin for the Pytest framework that provides advanced doctest support and enables the testing of reStructuredText files.

Data-Driven Tests (DDT) allow you to multiply one test case by running it with different test data, and make it appear as multiple test cases.

This pytest plugin provides fixtures to simplify Flask app testing.

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 package provides a pytest fixture for testing flake8 plugins.