{"id":25225,"date":"2023-03-21T14:24:00","date_gmt":"2023-03-21T08:54:00","guid":{"rendered":"http:\/\/www.pythonpool.com\/?p=25225"},"modified":"2026-07-13T12:42:06","modified_gmt":"2026-07-13T07:12:06","slug":"python-testing-framework","status":"publish","type":"post","link":"https:\/\/www.pythonpool.com\/python-testing-framework\/","title":{"rendered":"Python Testing Frameworks: unittest, pytest, and More"},"content":{"rendered":"<p><strong>Quick answer:<\/strong> unittest is built into Python, while pytest offers concise tests, fixtures, parametrization, and plugins. Choose the framework that fits the existing project and run it consistently with clear failures, appropriate coverage, and CI integration.<\/p>\n<figure class=\"pythonpool-article-visual\"><img src=\"https:\/\/www.pythonpool.com\/wp-content\/uploads\/2026\/07\/python-testing-frameworks-b124.png\" alt=\"Python Pool infographic comparing Python testing frameworks by test discovery, fixtures, assertions, parametrization, plugins, and CI\" width=\"1536\" height=\"1054\" loading=\"lazy\" decoding=\"async\"><figcaption>The best Python testing framework is the one the team can run consistently, understand, and integrate with coverage, CI, fixtures, and failure diagnostics.<\/figcaption><\/figure>\n<p>A Python testing framework helps you write repeatable checks for your code. The right choice depends on project size, team habits, plugin needs, and whether you are testing small functions, web routes, command-line tools, or larger integrations.<\/p>\n<p>The most common options are the standard-library <code>unittest<\/code> module and the third-party <code>pytest<\/code> framework. Python also includes <code>doctest<\/code> for examples in documentation strings. Older tools such as nose appear in legacy projects, but new projects usually choose <code>unittest<\/code> or <code>pytest<\/code>.<\/p>\n<p>A good framework should make simple tests easy and larger suites maintainable. Look for clear failure output, fixture support, CI compatibility, and a style your team will actually use. The best tool is the one that encourages frequent, reliable tests.<\/p>\n<p>The official <a href=\"https:\/\/docs.python.org\/3\/library\/unittest.html\">unittest documentation<\/a>, <a href=\"https:\/\/docs.pytest.org\/en\/stable\/\">pytest documentation<\/a>, and <a href=\"https:\/\/docs.python.org\/3\/library\/doctest.html\">doctest documentation<\/a> are the best primary references. For related comparisons, see <a href=\"https:\/\/www.pythonpool.com\/python-unittest-vs-pytest\/\">unittest vs pytest<\/a> and <a href=\"https:\/\/www.pythonpool.com\/python-doctest\/\">Python doctest<\/a>.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #990303;color:#990303\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #990303;color:#990303\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Start_With_unittest\" >Start With unittest<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Write_Simple_pytest_Tests\" >Write Simple pytest Tests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Use_pytest_Parametrization\" >Use pytest Parametrization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Use_Fixtures_For_Setup\" >Use Fixtures For Setup<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Test_Documentation_With_doctest\" >Test Documentation With doctest<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Organize_Integration_Tests\" >Organize Integration Tests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Choosing_A_Framework\" >Choosing A Framework<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Compare_The_Core_Models\" >Compare The Core Models<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Choose_By_Project_Fit\" >Choose By Project Fit<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Design_Useful_Tests\" >Design Useful Tests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Use_Fixtures_And_Parameters\" >Use Fixtures And Parameters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Separate_Test_Speeds\" >Separate Test Speeds<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Run_In_CI\" >Run In CI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#What_is_the_most_common_Python_testing_framework\" >What is the most common Python testing framework?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#Should_I_choose_pytest_or_unittest\" >Should I choose pytest or unittest?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#What_should_Python_tests_cover\" >What should Python tests cover?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.pythonpool.com\/python-testing-framework\/#How_do_I_run_tests_in_CI\" >How do I run tests in CI?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Start_With_unittest\"><\/span>Start With unittest<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><code>unittest<\/code> ships with Python. It is a good choice when you want no external dependency or when a codebase already uses class-based test cases.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">import unittest\n\ndef add(left, right):\n    return left + right\n\nclass TestMath(unittest.TestCase):\n    def test_adds_numbers(self):\n        self.assertEqual(add(2, 3), 5)\n\nif __name__ == \"__main__\":\n    unittest.main()\n<\/code><\/pre>\n<\/div>\n<p>This style is explicit and familiar to developers coming from xUnit-style frameworks in other languages.<\/p>\n<p>Because it is built in, <code>unittest<\/code> is available anywhere Python is installed. That can matter for internal tools, restricted environments, or libraries that avoid test dependencies.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Write_Simple_pytest_Tests\"><\/span>Write Simple pytest Tests<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><code>pytest<\/code> lets you write plain test functions with normal <code>assert<\/code> statements.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">def slugify(text):\n    return text.strip().lower().replace(\" \", \"-\")\n\ndef test_slugify_title():\n    assert slugify(\" Python Testing \") == \"python-testing\"\n\ndef test_slugify_keeps_words():\n    assert slugify(\"unit test\") == \"unit-test\"\n<\/code><\/pre>\n<\/div>\n<p>Pytest is popular because the test code stays compact while still supporting fixtures, parametrization, plugins, and rich failure output.<\/p>\n<p>The plain <code>assert<\/code> style keeps small tests readable. Pytest then adds helpful details when an assertion fails, which often makes debugging faster.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Use_pytest_Parametrization\"><\/span>Use pytest Parametrization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Parametrization runs the same test logic with several inputs. It reduces repeated test code.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">import pytest\n\ndef is_even(number):\n    return number % 2 == 0\n\n@pytest.mark.parametrize(\n    \"number, expected\",\n    [(2, True), (3, False), (10, True)],\n)\ndef test_is_even(number, expected):\n    assert is_even(number) is expected\n<\/code><\/pre>\n<\/div>\n<p>This is useful when a function has several clear examples, edge cases, or formats to check.<\/p>\n<p>Parametrization is also useful for regression tests. When a bug appears, add the failing input as another case so the same mistake is not reintroduced later.<\/p>\n<p><!-- Python Pool visual layout repair 2026-07-13 --><\/p>\n<figure class=\"pythonpool-article-visual pythonpool-supporting-visual\"><img src=\"https:\/\/www.pythonpool.com\/wp-content\/uploads\/2026\/07\/python-testing-frameworks-unittest-b124.png\" alt=\"Python Pool infographic showing TestCase, assertions, fixtures, and discovery\" width=\"1536\" height=\"1054\" loading=\"lazy\" decoding=\"async\"><figcaption>unittest: TestCase, assertions, fixtures, and discovery.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Use_Fixtures_For_Setup\"><\/span>Use Fixtures For Setup<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Pytest fixtures share setup code across tests without putting everything inside a class.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">import pytest\n\n@pytest.fixture\ndef sample_user():\n    return {\"name\": \"Ada\", \"active\": True}\n\ndef test_user_is_active(sample_user):\n    assert sample_user[\"active\"] is True\n\ndef test_user_has_name(sample_user):\n    assert sample_user[\"name\"] == \"Ada\"\n<\/code><\/pre>\n<\/div>\n<p>Fixtures are helpful for sample data, temporary directories, clients, configuration, and database setup.<\/p>\n<p>Keep fixtures focused. A fixture that creates too much state can make tests hard to understand and harder to debug when one setup step changes.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Test_Documentation_With_doctest\"><\/span>Test Documentation With doctest<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><code>doctest<\/code> checks examples written in documentation strings. It is best for small, stable examples.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">def double(number):\n    \"\"\"\n    Return number multiplied by two.\n\n    &gt;&gt;&gt; double(4)\n    8\n    \"\"\"\n    return number * 2\n\nif __name__ == \"__main__\":\n    import doctest\n    doctest.testmod()\n<\/code><\/pre>\n<\/div>\n<p>Doctest should not replace a full test suite, but it keeps documentation examples honest.<\/p>\n<p>Doctest works best for deterministic examples. Avoid examples that depend on current time, random output, network calls, or platform-specific formatting.<\/p>\n<figure class=\"pythonpool-article-visual pythonpool-supporting-visual\"><img src=\"https:\/\/www.pythonpool.com\/wp-content\/uploads\/2026\/07\/python-testing-frameworks-pytest-b124.png\" alt=\"Python Pool infographic showing test functions, fixtures, markers, and failures\" width=\"1536\" height=\"1054\" loading=\"lazy\" decoding=\"async\"><figcaption>pytest: Test functions, fixtures, markers, and failures.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Organize_Integration_Tests\"><\/span>Organize Integration Tests<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Integration tests check whether several pieces work together. Mark them clearly so they can be run separately from fast unit tests.<\/p>\n<div class=\"pythonpool-code-scroll\" style=\"max-width:105%;overflow-x:auto;-webkit-overflow-scrolling:touch;\">\n<pre><code class=\"language-python\">import pytest\n\n@pytest.mark.integration\ndef test_api_health(api_client):\n    response = api_client.get(\"\/health\")\n\n    assert response.status_code == 200\n    assert response.json()[\"status\"] == \"ok\"\n<\/code><\/pre>\n<\/div>\n<p>Use markers, folders, or naming conventions to separate quick checks from slower tests that need services, files, or network access.<\/p>\n<p>This separation keeps local feedback fast. Developers can run unit tests constantly and run integration tests before merging or deploying.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Choosing_A_Framework\"><\/span>Choosing A Framework<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Choose <code>unittest<\/code> when you want a built-in tool, class-based structure, or compatibility with older projects. Choose <code>pytest<\/code> when you want concise tests, fixtures, parametrization, and a large plugin ecosystem. Use <code>doctest<\/code> for short examples in documentation.<\/p>\n<p>For most new application projects, pytest is a pragmatic default. For libraries that must avoid dependencies, <code>unittest<\/code> remains a reliable option. Mixed projects can run unittest-style tests under pytest, which helps migrations.<\/p>\n<p>Also consider reporting. CI systems usually need a simple command, clear exit codes, and sometimes XML or coverage output. Both unittest and pytest can fit into automated pipelines, but pytest often needs less setup for modern workflows.<\/p>\n<p>Whichever framework you choose, keep the first test command documented in the repository. A newcomer should be able to install dependencies, run the tests, and understand failures without asking for private setup knowledge.<\/p>\n<p>The reliable pattern is to start with fast unit tests, add integration tests for real workflows, and keep test commands easy to run locally and in CI. A testing framework is useful only when the team can run it often and trust the results. For keyword-driven acceptance and browser automation rather than only unit tests, evaluate <a href=\"https:\/\/www.pythonpool.com\/pythons-robots\/\">Python Robot Framework Automation Guide<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Compare_The_Core_Models\"><\/span>Compare The Core Models<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>unittest uses test cases and a standard library runner; pytest discovers ordinary test functions and classes and adds a rich fixture and plugin model.<\/p>\n<figure class=\"pythonpool-article-visual pythonpool-supporting-visual\"><img src=\"https:\/\/www.pythonpool.com\/wp-content\/uploads\/2026\/07\/python-testing-frameworks-fixtures-b124.png\" alt=\"Python Pool infographic showing setup, teardown, scope, and dependency injection\" width=\"1536\" height=\"1054\" loading=\"lazy\" decoding=\"async\"><figcaption>Fixtures: Setup, teardown, scope, and dependency injection.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Choose_By_Project_Fit\"><\/span>Choose By Project Fit<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Existing conventions, third-party integrations, team familiarity, supported Python versions, reporting, and migration cost matter more than a generic popularity ranking.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Design_Useful_Tests\"><\/span>Design Useful Tests<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Cover normal behavior, boundaries, invalid inputs, exceptions, regressions, and external effects through controlled fakes or integration fixtures.<\/p>\n<figure class=\"pythonpool-article-visual pythonpool-supporting-visual\"><img src=\"https:\/\/www.pythonpool.com\/wp-content\/uploads\/2026\/07\/python-testing-frameworks-ci-b124.png\" alt=\"Python Pool infographic showing test commands, coverage, parallel jobs, and artifacts\" width=\"1536\" height=\"1054\" loading=\"lazy\" decoding=\"async\"><figcaption>CI: Test commands, coverage, parallel jobs, and artifacts.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Use_Fixtures_And_Parameters\"><\/span>Use Fixtures And Parameters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Fixtures should make setup ownership clear, while parametrization should expose the input matrix without hiding which case failed.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Separate_Test_Speeds\"><\/span>Separate Test Speeds<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Keep fast unit tests available for every change and isolate slower integration, network, database, or browser suites with explicit setup and cleanup.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Run_In_CI\"><\/span>Run In CI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Pin the environment, use a stable command, preserve failure output, collect risk-appropriate coverage, and make flaky tests visible rather than silently retrying forever.<\/p>\n<p>Use the <a href=\"https:\/\/docs.python.org\/3\/library\/unittest.html\">official unittest documentation<\/a> and <a href=\"https:\/\/docs.pytest.org\/en\/stable\/\">official pytest documentation<\/a>. Related Python Pool references include <a href=\"https:\/\/www.pythonpool.com\/python-logging\/\">logging<\/a> and <a href=\"2\">test data<\/a>.<\/p>\n<p>For related quality workflows, compare <a href=\"2\">test data<\/a>, <a href=\"1\">fixture mappings<\/a>, and <a href=\"https:\/\/www.pythonpool.com\/python-logging\/\">failure logs<\/a> before choosing a framework.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"What_is_the_most_common_Python_testing_framework\"><\/span>What is the most common Python testing framework?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>unittest is included with Python, while pytest is widely used for concise tests, fixtures, parametrization, and its plugin ecosystem.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Should_I_choose_pytest_or_unittest\"><\/span>Should I choose pytest or unittest?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Choose based on existing project conventions, library integrations, team familiarity, and the features needed for fixtures, discovery, and reporting.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"What_should_Python_tests_cover\"><\/span>What should Python tests cover?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Cover normal behavior, boundaries, invalid input, errors, external integrations through controlled fakes, and important regression cases.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_do_I_run_tests_in_CI\"><\/span>How do I run tests in CI?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Use a reproducible environment, a stable test command, clear failure output, coverage appropriate to risk, and fast checks before slower integration suites.<\/p>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is the most 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checks before slower integration suites.\"}}]}<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Compare Python testing frameworks including unittest and pytest by fixtures, discovery, assertions, plugins, parametrization, coverage, and team workflow.<\/p>\n","protected":false},"author":36,"featured_media":33549,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[15],"tags":[5743,5744,5741,5742,5739],"class_list":["post-25225","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tutorials","tag-list-of-testing-frameworks","tag-python-test-api-framework","tag-python-testing-framework-2023","tag-python-testing-framework-for-selenium","tag-python-testing-framework-pytest","infinite-scroll-item"],"yoast_head":"<!-- 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