Search Results for "rest api testing"

Open source, self-hosted solution for visual testing and managing results of visual testing. Service receives images, performs pixel-by-pixel comparisons with its previously accepted baseline, and provides immediate results in order to catch unexpected changes. Use implemented libraries to integrate with existing automated suites by adding assertions based on image comparison. We provide native integration with automation libraries, core SDK and Rest API interfaces that allow the system to be used with any existing programming language.

Happo is a visual regression testing tool. It hooks into your CI environment to compare the visual appearance of UI components before and after a change. Screenshots are taken in different browsers and across different screen sizes to ensure consistent cross-browser and responsive styling of your application. The first thing you want to do is to set up a test suite for Happo. A test suite consists of a set of components and variants of those components. There are many ways to do this, and it...

Here we present the lines of code for creating a taylor plot with python to display several machine learning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list.

...A jest-puppy-shots is a Jest plugin that can help you create Visual Regression tests for your React components. If you ever used Enzyme or Snapshots you will love the jest-puppe-shots. The Snapshot testing approach is really awesome but it has one downside: it cannot be used to make visual regression tests of your components. Thanks to the Puppeteer API it's now possible to use the Chromium browser in Jest and create real screenshots of your components.

A visual regression testing library/tool, aims to quickly automate browser-based tests with minimum development overhead. To test flexibly in different testing scenarios, either testing against web UI wired with backends or just static web pages, VBot exposes API to be used with testing frameworks like mocha or ava, etc. Therefore, the test data variables can be updated according to different conditions, in order to decouple from real backends and avoid false negative results.