Best Software Testing Tools for Python
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Compare the Top Software Testing Tools that integrate with Python as of May 2025
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This a list of Software Testing tools that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What are Software Testing Tools for Python?
Software testing tools help developers and QA teams assess the functionality, performance, and security of applications by automating and streamlining the testing process. These tools offer various testing methods, such as unit testing, integration testing, and load testing, to identify bugs, vulnerabilities, and other issues before deployment. They often include features like test case management, real-time reporting, and bug tracking to enhance collaboration and ensure thorough testing coverage. By automating repetitive testing tasks, software testing tools improve efficiency, reduce human error, and speed up the development lifecycle. Ultimately, these tools ensure that software is reliable, secure, and meets quality standards before it is released to users. Compare and read user reviews of the best Software Testing tools for Python currently available using the table below. This list is updated regularly.
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1
Parasoft
Parasoft
Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems. -
2
Playwright
Playwright
Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests. Playwright assertions are created specifically for the dynamic web. Checks are automatically retried until the necessary conditions are met. Configure test retry strategy, capture execution trace, videos, screenshots to eliminate flakes. Browsers run web content belonging to different origins in different processes. Playwright is aligned with the modern browsers architecture and runs tests out-of-process. This makes Playwright free of the typical in-process test runner limitations.Starting Price: Free -
3
esDynamic
eShard
Maximize your security testing journey, from setting up your bench to analyzing your data processing results, esDynamic saves you valuable time and effort, empowering you to unleash the full potential of your attack workflow. Discover the flexible and comprehensive Python-based platform, perfectly suited for every phase of your security analysis. Customize your research space to meet your unique requirements by effortlessly adding new equipment, integrating tools, and modifying data. Additionally, esDynamic features an extensive collection of materials on complex topics that would typically require extensive research or a team of specialists, granting you instant access to expertise. Say goodbye to scattered data and fragmented knowledge. Welcome a cohesive workspace where your team can effortlessly share data and insights, fostering collaboration and accelerating discoveries. Centralize and solidify your efforts in JupyterLab notebooks to share with your team.Starting Price: Free -
4
Early
Early
Early is an AI-driven tool designed to automate the generation and maintenance of unit tests, enhancing code quality and accelerating development processes. By integrating with Visual Studio Code (VSCode), Early enables developers to produce verified and validated unit tests directly from their codebase, covering a wide range of scenarios, including happy paths and edge cases. This approach not only increases code coverage but also helps identify potential issues early in the development cycle. Early supports TypeScript, JavaScript, and Python languages, and is compatible with testing frameworks such as Jest and Mocha. The tool offers a seamless experience by allowing users to quickly access and refine generated tests to meet specific requirements. By automating the testing process, Early aims to reduce the impact of bugs, prevent code regressions, and boost development velocity, ultimately leading to the release of higher-quality software products.Starting Price: $19 per month -
5
TestComplete
SmartBear
Ensure the quality of your application without sacrificing speed or agility with an easy-to-use, GUI test automation tool. Our AI-powered object recognition engine and script or scriptless flexibility is unmatched, letting you test every desktop, web, and mobile application with ease. TestComplete comes with an intelligent object repository and support for over 500 controls, so you can ensure your GUI tests are scalable, robust, and easy to maintain. More automated quality means more overall quality. Automate UI testing across a wide range of desktop applications, including .Net, Java, WPF and Windows 10. Create reusable tests for all web applications including modern JavaScript frameworks like React and Angular on 2050+ browser and platform configurations. Create and automate functional UI tests on physical or virtual iOS and Android devices. No need to jailbreak your phone.Starting Price: $4,836 -
6
pytest
pytest
pytest helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. Due to pytest’s detailed assertion introspection, only plain assert statements are used. Detailed info on failing assert statements. Auto-discovery of test modules and functions. Modular fixtures for managing small or parametrized long-lived test resources. Can run unittest (including trial) and nose test suites out of the box. Supports Python 3.6+ and PyPy 3. Rich plugin architecture, with over 315+ external plugins and thriving community. The maintainers of pytest and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. -
7
AtomicJar
AtomicJar
Shift testing to the left and find issues earlier, when they are easier and cheaper to fix. Enable developers to do better integration testing, shorten dev cycles and increase productivity. Shorter and more-thorough integration feedback cycles, mean more reliable products. Testcontainers Cloud makes it easy for developers to run reliable integration tests, with real dependencies defined in code, from their laptops to their team’s CI. Testcontainers is an open-source framework for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. -
8
Allure Report
Qameta Software
Simple. Fun. Language and Framework agnostic. Designed to create fancy and clear testing reports in minutes. Loved by the community, developed by Qameta Software & Open-source contributors. Allure supports the majority of test frameworks. Pick the one you need and follow the integration steps. Run your automated test suite using your chosen testing framework. The detailed test results will be captured automatically. Configure your pipeline to run the test suite and generate Allure reports as a post-test step. Depending on your needs, you can customise the Allure reports by adding additional metadata such as tags, labels or descriptions to your test cases. Share the generated Allure reports with stakeholders such as developers, testers, and project managers. The reports' interactive and visual nature makes collaborating and communicating testing results easy.
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