pytest Integrations

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Zebrunner is an AI-driven platform that seamlessly integrates manual and automated testing, enabling QA teams to collaborate efficiently. Its AI-enhanced capabilities streamline testing workflows by generating and autocompleting test cases, prioritizing failures, and delivering real-time insights. Zebrunner Test Case Management offers a powerful solution for organizing manual test cases. It features intuitive split-screen navigation, drag-and-drop editing, and customizable layouts, making test management more efficient. With real-time progress tracking, testers can quickly identify and resolve blockers or failures. Custom fields and filters enable tailored test management to fit project-specific requirements. Zebrunner Automation Reporting enhances automated testing by delivering advanced reporting and analytics. It integrates with popular frameworks such as TestNG, JUnit, and Cypress, providing real-time insights into test execution. Teams can easily monitor progress, analyze failures, and access logs or video recordings. With its comprehensive reporting capabilities, Zebrunner offers data-driven insights, helping teams optimize their testing efforts and make more informed decisions.

With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.

You can build and distribute any type of web application. VIKTOR is the platform for the engineering, construction and construction industries. Your organisation can build and distribute scalable apps. Enter into a new era in engineering. Our digital building blocks allow you to quickly create web-based applications that are professional and easy to share with anyone. VIKTOR is the most popular application development platform in engineering and construction. It allows engineers to quickly create their own software solutions and share them easily with others. Engineers and other domain experts are the best people to know your business. You can empower your employees to adopt new technologies and quickly create, test, distribute and scale new software solutions to meet their needs. This leads to better solutions, higher adoption rates, and lower development cost.

Enhance the quality of your code by adopting healthier coding practices and refining your code review process. Codecov offers a suite of integrated tools designed to organize, merge, archive, and compare coverage reports seamlessly. This service is free for open-source projects, with paid plans beginning at just $10 per user each month. It supports multiple programming languages, including Ruby, Python, C++, and JavaScript, and can be effortlessly integrated into any continuous integration (CI) workflow without the need for extensive setup. The platform features automatic merging of reports across all CI systems and languages into a unified document. Users can receive tailored status updates on various coverage metrics and review reports organized by project, folder, and test type, such as unit or integration tests. Additionally, detailed comments on the coverage reports are directly included in your pull requests. Committed to safeguarding your data and systems, Codecov holds SOC 2 Type II certification, which verifies that an independent third party has evaluated and confirmed their security practices. By utilizing these tools, teams can significantly increase code quality and streamline their development processes.

Achieve unparalleled performance in cross-browser and cross-platform testing with ease. Seamlessly run automated tests across a wide range of popular browsers and devices in the cloud, while we manage the complexities, all accessible through the latest versions of TestOps and Studio. Quality assurance teams and developers gain the flexibility required to adapt to dynamic environments and evolving business requirements. Enjoy hassle-free access to on-demand testing environments that come with a pre-configured setup. With enterprise-grade security measures, each phase of the testing process is meticulously protected. Within the Katalon platform, you can design, orchestrate, and execute all testing tasks. Users have the ability to create scripts using Studio, run them via TestCloud, manage the comprehensive testing workflow, and analyze results through TestOps, all within one Katalon account. Test on any combination of browsers, versions, or operating systems available. TestCloud empowers QA professionals and testers by removing limitations imposed by local environments and negating the need to wait for IT to set up necessary configurations. This streamlined approach enhances productivity and accelerates the testing process significantly.

This plugin generates detailed coverage reports that offer more functionality compared to merely using coverage run. It includes support for subprocess execution, allowing you to fork or run tasks in a subprocess while still obtaining coverage seamlessly. Additionally, it integrates with xdist, enabling the use of all pytest-xdist features without sacrificing coverage reporting. The plugin maintains consistent behavior with pytest, ensuring that all functionalities provided by the coverage package are accessible either via pytest-cov's command line options or through coverage's configuration file. In rare cases, a stray .pth file might remain in the site packages after execution. To guarantee that each test run starts with clean data, the data file is cleared at the start of testing. If you wish to merge coverage results from multiple test runs, you can utilize the --cov-append option to add this data to that of previous runs. Furthermore, the data file is retained at the conclusion of testing, allowing users to leverage standard coverage tools for further analysis of the results. This additional functionality enhances the overall user experience by providing better management of coverage data throughout the testing process.

Test using any web browser to eliminate manual tasks and enhance your confidence in the process. With just a few clicks, you can record and convert your web actions into automated scripts effortlessly. You have the option to import your existing Selenium IDE tests and transition seamlessly without any hesitation. Stay effective with testing on the latest browser versions, no matter how the web evolves. This solution is particularly ideal for individuals, startups, and small businesses. It works perfectly with the most recent versions of Chrome, Firefox, and MS Edge. Enjoy an onboarding experience that is systematic and enriched with an abundance of helpful documentation, tutorials, and webinars. You can define variables just once, utilize them throughout your scripts, and make updates as necessary using global variables. Eliminate the hassle of rewriting or hard-coding values in every single test. Focus on running only the test cases that truly matter by utilizing dynamic test suites. It’s time to put an end to unnecessary tests and cumbersome manual workarounds. The self-healing feature intelligently identifies and employs valid locators whenever a website undergoes changes, taking over when default locators fail. You can allow your tests to run overnight, ensuring that results are ready for you by the start of your next workday. This efficient setup not only saves time but also streamlines your testing process significantly.

Pynt, an innovative API Security Testing Platform, exposes verified API threats by simulating attacks. We help hundreds companies, including Telefonica, Sage and Halodoc to continuously monitor, categorize and attack poorly secured APIs before hackers do. Pynt’s uses a unique hacking technology and an integrated shift-left strategy, using home-grown attack scenario, to detect real threats. It also helps to discover APIs and suggest fixes for verified vulnerabilities. Pynt is trusted by thousands of companies to protect the No. As part of their AppSec strategies, a number of companies rely on Pynt to secure the no.

Streamline your testing efforts with Testmo, a comprehensive platform designed for managing test cases, sessions, and automation seamlessly. With its powerful capabilities, users benefit from an exceptionally fast user interface and rich reporting features, while integrating effortlessly with popular tools like Jira, GitHub, and GitLab. As the most efficient test case management solution available, Testmo allows for easy organization of test cases, recording of results, and tracking of test executions with its adaptable management system. Tailored to fit your workflow, it enhances productivity through full customization and integration with the tools you already use. The platform prioritizes exploratory testing, session management, and note-taking as essential features, ensuring a comprehensive testing strategy. Efficiently handle your test sessions and spontaneous tests to support quick-release cycles and continuous delivery. Additionally, Testmo integrates fully with existing automation tools, CI pipelines, and build systems, enabling automated result submissions, test tracking, and failure reporting. This flexibility ensures compatibility with any tool, language, or platform, consolidating all of your test automation results into a single, centralized location for easy access and management. Ultimately, Testmo empowers teams to achieve greater efficiency and collaboration in their testing processes.

TestQuality is an innovative test management solution aimed at QA and development teams, enabling them to efficiently create, execute, and oversee test cases, plans, runs, and cycles. It accommodates contemporary testing methodologies such as shift-left, behavior-driven development (BDD), test-driven development (TDD/ATDD), and continuous testing, while providing smooth integration with various tools including Jira, GitHub, Selenium, Playwright, and Jenkins. The platform features robust test analytics that empower teams to assess the quality of their tests and evaluate the effectiveness of their QA processes. With its live two-way integration, TestQuality ensures that testing activities are aligned with ongoing development and QA efforts in real time. Furthermore, it supports the importation of test results from widely used CI/CD platforms, test automation frameworks, and unit testing systems, alongside a powerful REST API, which simplifies integration into any DevOps setup. TestQuality's adaptability is also evident in its customizable roles and permissions, along with flexible pricing options, making it suitable for both small teams and large organizations with diverse requirements. By offering these comprehensive features, TestQuality enhances collaboration and efficiency in the testing landscape, ultimately contributing to improved software quality.

Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.

Coverage.py serves as a powerful utility for assessing the code coverage of Python applications. It tracks the execution of your program, recording which segments of the code have been activated, and subsequently reviews the source to pinpoint areas that could have been executed yet remained inactive. This measurement of coverage is primarily utilized to evaluate the efficacy of testing efforts. It provides insights into which portions of your code are being tested and which are left untested. To collect data, you can use the command `coverage run` to execute your test suite. Regardless of how you typically run your tests, you can incorporate coverage by executing your test runner with the coverage tool. If the command for your test runner begins with "python," simply substitute the initial "python" with "coverage run." To restrict coverage evaluation to only the code within the current directory and to identify files that have not been executed at all, include the source parameter in your coverage command. By default, Coverage.py measures line coverage, but it is also capable of assessing branch coverage. Additionally, it provides information on which specific tests executed particular lines of code, enhancing your understanding of test effectiveness. This comprehensive approach to coverage analysis can significantly improve the quality and reliability of your codebase.

Captain is a versatile open-source command-line interface designed to identify and isolate flaky tests, automatically retry those that fail, and split files for efficient parallel execution, among other features. It supports 16 different testing frameworks, making it a flexible choice for various projects. By monitoring the duration of each test run, Captain optimizes the test suite by creating balanced partitions to reduce overall runtime in continuous integration environments. Additionally, it identifies and reports flaky tests within your test suites, allowing for quick resolution of any issues related to flakiness. Implement Captain with your current testing framework, as it boasts compatibility with over 15 frameworks, with plans for future integration of more. The tool intelligently retries only those tests that fail, minimizing downtime during retry processes. Moreover, in conjunction with its flakiness detection capabilities, Captain can be set up to retry flaky tests more frequently compared to new failures. Its quarantine feature empowers users to keep running tests known to be flaky or failing, ensuring that these do not hinder the success of your builds. Overall, Captain streamlines the testing process, making it more efficient and manageable.

Allure is an engaging and straightforward tool that operates independently of any specific language or framework, allowing users to generate visually appealing and informative testing reports in just a matter of minutes. It has gained popularity within the community and is backed by contributions from Qameta Software and many open-source developers. Compatible with a wide array of testing frameworks, Allure enables users to select their preferred one and seamlessly follow the provided integration guidelines. After setting up your automated test suite with the chosen framework, Allure automatically captures comprehensive test results. To enhance workflow efficiency, simply configure your pipeline to execute the test suite and produce Allure reports as a follow-up step after testing concludes. Furthermore, you have the flexibility to tailor these reports according to your preferences by incorporating extra metadata, such as tags, labels, or detailed descriptions for each test case. Once the Allure reports are generated, sharing them with key stakeholders, including developers, testers, and project managers, becomes a breeze; their interactive and visually appealing format greatly facilitates effective collaboration and communication regarding testing outcomes. Ultimately, Allure not only streamlines the reporting process but also enriches the overall testing experience through its engaging features.