Best Test Automation Frameworks for Python

Playwright supports all modern rendering engines, including Chromium and WebKit. You can test on Windows, Linux, or macOS. Playwright waits for the elements to become actionable before he can take any actions. It also offers a wealth of introspection events. Combining the two reduces artificial timeouts, which is the main cause of flaky tests. Playwright assertions were created for the dynamic web. Checks are automatically retried until all conditions are met. To eliminate flaky bits, configure test retry strategy, capture execution trace and screenshots. Browsers can run web content from different origins in different ways. Playwright is compatible with modern browser architectures and runs tests out of-process. Playwright is free from the limitations of in-process test runners.

Robot Framework is an open-source automation framework. It can be used to automate test automation as well as robotic process automation (RPA). Robot Framework Foundation supports Robot Framework. Robot Framework Foundation supports many industry-leading companies in their software development. Robot Framework is extensible and open-source. Robot Framework can be used in conjunction with almost any other tool to create flexible and powerful automation solutions. Robot Framework is available for free without any licensing fees. Robot Framework uses human-readable keywords and a simple syntax. Libraries that are written in Python, Java, or other programming languages can extend its capabilities. Robot Framework is part of a rich ecosystem that includes libraries and tools, each developed in its own projects.

Behavior-driven development (or simply BDD) is an agile software development technique. It encourages collaboration between developers and QA, as well as non-technical or business stakeholders in a software project. This philosophy is further described on a separate page. Behavior-driven development (or simply BDD) is an agile software-development technique that encourages collaboration among developers, QA, and other non-technical or business stakeholders in a software project. Dan North originally called it BDD in 2003 as a response at test-driven development (TDD), which includes acceptance tests or customer test driven development practices like extreme programming. BDD is a second-generation, outside-in, pull-based, multiple-stakeholder, multiple-scale, high-automation, agile methodology. It describes a series of interactions that result in well-defined outputs. This results in the delivery and testing of software that works.

Gauge is an open-source framework that allows you to write and run acceptance tests. Gauge tests can be written in Markdown, which makes it easier to maintain and write them. Reuse specifications and robust, refactoring will reduce duplication. A test suite that is less code and has readable specifications will save you time and effort. Gauge can be used with multiple languages, CI/CD tools, and automation drivers. To get your test automation tool working for you, you don't need to learn a new language. Gauge's plugin architecture and ecosystem is robust. Gauge can be easily extended to support IDEs, drivers and datasources. Do not waste your time looking through stacktraces. Gauge will take a screenshot of a test failure to give you a clear picture of what went wrong. Reports can be accessed in multiple formats (XML and JSON, HTML).

Using pytest you can write better programs. The pytest framework allows you to write small tests while still being able to support complex functional testing of libraries and applications. Because of pytest’s introspection, only plain assert sentences are used. Details on failing assert statements. Auto-discovery test modules and functions. Modular fixtures are used to manage small or parametrized, long-lasting test resources. The box can run unittest (including trial), and nose test suites. Supports Python 3.6+, and PyPy 3. Rich plugin architecture with over 315+ plugins from outside and a thriving community. Tidelift is working with the maintainers of Python and thousands of other packages to provide commercial support and maintenance for open-source dependencies that you use to build your applications. You can save time, reduce risk, improve code health, and pay the maintainers of exactly the dependencies that you use.