Showing 4 open source projects for "library"

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    React Native Owl

    React Native Owl

    Visual regression testing library for React Native

    React Native Owl is a visual regression testing library for React Native that enables developers to introduce visual regression tests to their apps for iOS and Android. Being heavily inspired by Detox, an end-to-end testing and automation framework, this library uses a similar API that makes setting up react-native-owl and running the tests locally and on your preferred CI service seamless.
    Downloads: 6 This Week
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  • 2
    Testcontainers node

    Testcontainers node

    Supports tests, providing lightweight, throwaway instances of database

    Testcontainers is an open source library 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.
    Downloads: 12 This Week
    Last Update:
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  • 3
    React Screenshot Test

    React Screenshot Test

    A dead simple library to screenshot test React components

    A dead simple library to screenshot test React components. Under the hood, we start a local server that renders components server-side. Each component is given its own dedicated page (e.g. /render/my-component). Then we use Puppeteer to take a screenshot of that page. If you work on a team where developers use a different OS (e.g. Mac OS and Linux), or if you develop on Mac OS but use Linux for continuous integration, you would quickly run into issues where screenshots are inconsistent across platforms. ...
    Downloads: 0 This Week
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  • 4
    Passmark

    Passmark

    The open-source Playwright library for AI browser regression testing

    The Passmark project is an open-source AI-powered regression testing framework built on top of Playwright that enables developers to write end-to-end browser tests using natural language instead of traditional scripting. It is designed to simplify and accelerate testing workflows by allowing AI models to interpret human-readable instructions and translate them into executable browser actions. One of its defining features is a cache-first execution model, where AI is used initially to...
    Downloads: 0 This Week
    Last Update:
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