Search Results for "image"
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Showing 10 open source projects for "image"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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1
nut.js
Native UI testing / controlling with node
...An improved image matching plugin that supports Apple Silicon chips, works across all current and future node/Electron versions and provides multi-image matching. -
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Storycap
A Storybook Addon, Save the screenshot image of your stories
Storycap crawls your Storybook and takes screenshot images. It is primarily responsible for image generation necessary for Visual Testing such as reg-suit. -
3
Visual Regression Tracker
Backend and Frontend application for tracking differences via image
...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. -
4
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... -
Manage Everything in One Easy to Use SoftwareShape CRM helps you manage your business on one easy to use platform. Shape's cloud-based software offers dozens of tools designed to manage and automate your online marketing and promotions via email and SMS, capture and service leads from online sources, organize sales pipelines, nurture prospects and customers, create and send professional online documents, accept online payments, run custom reporting, and automate everyday admin tasks. Shape is the most flexible CRM ever!
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5
CSS Critic
Lightweight CSS regression testing
...You probably won't find an easier way of sharing your UI tests than the simple web page that CSS Critic basically is. And don't feel put down by the "CSS" bit, you may throw anything at it that can be converted into a simple image. -
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SikuliX
SikuliX version 2.0.0+ (2019+)
SikuliX automates anything you see on the screen of your desktop computer running Windows, Mac or some Linux/Unix. It uses image recognition powered by OpenCV to identify GUI components and can act on them with mouse and keyboard actions. This is handy in cases when there is no easy access to a GUI's internals or the source code of the application or web page you want to act on. -
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Cypress Image Snapshot
Catch visual regressions in Cypress
Cypress Image Snapshot binds jest-image-snapshot's image diffing logic to Cypress.io commands. The goal is to catch visual regressions during integration tests. -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
...The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available. -
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AyeSpy
A performant visual regression testing tool
Aye Spy is a high-performance visual regression tool to catch UI regressions. Aye Spy takes inspiration from existing projects such as Wraith and BackstopJs. We have found visual regression testing to be one of the most effective ways to catch regressions. It's a great tool to have in your pipeline, but the current solutions on the market were missing one key component we felt was essential for a great developer experience performance. -
Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers.Paladin Point of Sale is ideal for independent retailers in hardware, lumber, pharmacy, and specialty retail industries seeking an easy-to-use, industry-specific POS system with strong support and flexibility.
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10
PhantomCSS
Visual/CSS regression testing with PhantomJS
...PhantomCSS takes screenshots captured by CasperJS and compares them to baseline images using Resemble.js to test for rgb pixel differences. PhantomCSS then generates image diffs to help you find the cause. Screenshot based regression testing can only work when UI is predictable. It's possible to hide mutable UI components with PhantomCSS but it would be better to test static pages or drive the UI with faked data during test runs.
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