pytest Integrations

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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.

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.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

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.

High-performance platform and cross-browser testing. Execute automated tests across all browsers and devices using the cloud. We handle the heavy lifting. All this is accessible from the latest version of TestOps Studio. QA and development teams have the flexibility to adapt to changing environments and business requirements. Access to pre-configured test environments on demand. Enterprise-grade security to protect every step of your testing process. All your tests can be designed, orchestrated, and executed within the Katalon platform. Studio allows users to create scripts and execute them using TestCloud. They can also orchestrate the whole testing process using TestOps. All this is done within the same Katalon Account. You can test on any browser, version, OS or combination thereof. TestCloud allows QA engineers to test on any available environment, and IT can deploy the ones they need.

This plugin generates coverage reports. This plugin offers more than just coverage. Subprocess support is available so that you can fork and run stuff in subprocesses and get covered without fuss. Xdist support is available so that you can still use all the features of pytest.xdist and still receive coverage. Consistent pytest behavior. All features of the coverage package should work. In some cases, site packages may contain a stray file.pth. To ensure that each test run has clean data, the data file is deleted at the beginning of testing. You can combine coverage from multiple test runs by using the --cov-append option. This will add this coverage data to coverage data of previous test runs. It is possible to examine the data file using normal coverage tools.

Coverage.py can be used to measure the code coverage of Python programs. It monitors your program and notifies you which parts have been executed. Then it analyzes the source code to find code that could have been executed. It is used to measure the effectiveness of tests. It can help you determine which parts of your code are being used by tests and which are not. Coverage run can be used to run your test suite, gather data, and run it again. You can run your test suite as usual, but your test runner can be run under coverage. If your test runner command begins with "python", replace it with "coverage run". To limit the coverage measurement to code in your current directory and to find files that were not executed, add the source argument (to your coverage command line). It will default measure line (or statement) coverage. It can also measure branch coverage. It can also tell you which tests were run on which lines.

Test in any browser. In just a few clicks, you can record and convert web actions into automated scripts. You can import existing Selenium IDE test results and switch sides without regrets. No matter what browser version you use, your browser will work well. Ideal for individuals, small businesses, and start-ups. Compatible with the latest version of Chrome, Firefox, and MS Edge. Step-by-step instructions with tons of walkthroughs and webinars. You can define variables once and use them all. Then, you can update them as needed with global variables. No need to rewrite or hard-code values in any test. Dynamic test suites allow you to categorize and only run the relevant test cases. Time to stop manual workarounds and unnecessary tests. When websites change or default locators stop working, self-healing automatically searches for and uses valid locators. You can run your tests overnight and have your results ready for you by the next day.

Captain is a free CLI. It can quarantine and detect flaky tests, retry failed tests automatically, partition files to run in parallel, and much more. It is compatible with 16 different testing frameworks. Captain partitions your test suite in balanced partitions and tracks the time it takes each test to run. This helps to reduce test suite runtimes for CI. Captain reports which tests are flaky in your test suites so you can quickly resolve flakiness issues. Use Captain with your existing framework. Captain is compatible with over 15 test frameworks, with more to come. Captain only retries the tests that fail, so you don't have to wait as long for retries. Captain can be configured, in conjunction with flakiness detection to retry flaky test more aggressively than a new failure. The quarantining feature of Captain allows you to run tests that are known as flaky or failing, while preventing your builds from failing.

Testmo allows you to manage all your test cases, sessions and automation. Unified test management, lightning fast UI, rich integrations & reports. Works with Jira, GitHub, GitLab & more. Fully integrated, the most productive tool for managing test cases. Testmo's flexible management of test cases allows you to easily manage test cases, track test results and record test runs. Fully customizable, integrated into your existing tools and optimized for productivity. Testmo’s test management platform offers first-class features such as exploratory testing, session and note management. Manage your test sessions, ad hoc tests and release cycles for continuous delivery and fast-release cycles. Full test automation integration for your existing testing tools and CI pipelines. Automate the submission of results, tracking tests, and reporting failures. Works with any language, tool, or platform. All test automation results are stored in one central location, regardless of which tools you use.

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.

Even if you have the best developers, every test makes them slower. 80% of your software testing is pointless. The problem is that you don't know which 20%. We use your data to find the right 20% so you can ship faster. We offer shrink-wrapped predictive testing selection. This machine learning-based method is used by companies like Facebook and can be used by all companies. We support multiple languages, test runners and CI systems. Bring Git. Launchable uses machine-learning to analyze your source code and test failures. It doesn't rely solely on code syntax analysis. Launchable can easily add support for any file-based programming language. This allows us to scale across projects and teams with different languages and tools. We currently support Python, Ruby and Java, JavaScript and Go, as well as C++ and C++. We regularly add new languages to our support.

Simple. Fun. Language and Framework independent. Creates clear and fancy testing reports in just minutes. The community loves this tool, which was developed by Qameta Software and Open-source contributors. Allure supports a wide range of test frameworks. Choose the framework you require and follow the steps for integration. Use your chosen testing framework to run your automated test suite. The results of the detailed tests will be automatically captured. Configure your pipeline so that it runs the test suite, and generates Allure reports after each test. You can customize the Allure reports based on your needs by adding additional metadata to your test cases, such as tags or labels. Share the generated Allure report with stakeholders, such as developers and testers. The interactive and visual nature of the reports makes it easy to collaborate and communicate testing results.