testcontainers-python automation testing framework index.
Python library that provides an API to run automation tests in Docker container
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In some sense, testing can be more difficult than coding, as validating the efficiency of the test cases (i.e., the ‘goodness’ of your tests) can be much harder than validating code correctness. In practice, the tests are just executed without any validation beyond the pass/fail verdict. On the contrary, the code is (hopefully) always validated by testing. By designing and executing the test cases the result is that some tests have passed, and some others have failed. Testers do not know much about how many bugs remain in the code, nor about their bug-revealing efficiency.
API (Application Programming Interface) is a set of definitions and protocols for building and integrating applications. It’s occasionally referred to as a contract between an information provider and an information user establishing the content required from the consumer and the content needed by the producer.
Collecting and examining data from multiple sources can be a tedious process. The digital world is constantly evolving. To stay competitive in this fast-paced environment, businesses must frequently test their products and services. While it’s easy to collect raw data from multiple sources, it’s far more complex to interpret it properly.
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Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
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testcontainers-python is lincensed under the Apache License 2.0
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Verify that the API correctly handles large payloads and returns the correct HTTP status code and error message.
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Do not convey information solely through icons or symbols.
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Check if the radio button and drop-down list options are saved correctly in the database.
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Verify that the API returns the correct resource based on the provided search parameters.
testcontainers-python can be downloaded from it’s GitHub repository - https://github.com/testcontainers/testcontainers-python
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Python screenshot library, replacement for the Pillow ImageGrab module on Linux
Test management system
Nose2 is the successor to nose. Nose2's purpose is to extend unittest to make testing nicer and easier to understand. Can be considered as unittest with plugins.
A simple, cross-platform GUI automation module for Python and Rust.
Pytest plugin for automating actions and assertions. Has test metrics reporting executing plain YAML files.
Profiling for ruby tests
NUnit is a unit-testing framework for all .NET languages. Is completely rewritten with many new features and support for a wide range of .NET platforms.
Spek 2.x is a complete rewrite of Spek with Kotlin multiplatform support in mind. The DSL is also reworked into two distinct styles: specification and gherkin.
NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests!
Gherkin is a parser and compiler for the Gherkin language. Gherkin dotnet can be used either through its command line interface (CLI) or as a library.
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