Search Results for "simple-scan"

Our mission is to create one of the most powerful, beautiful, and simple Web rendering engines in the world. Our passion is to make it completely open and free for everyone. We are artists, developers, creators, and dreamers and we want to make it as simple as possible to enable everyone to bring their ideas to life. With this new version of Babylon.js, we set out to make it even easier to develop with.

...It leverages modern web technologies to deliver a responsive and interactive experience, making it suitable for quick experiments, demos, or educational purposes. The editor emphasizes ease of use, allowing users to write, edit, and preview code in real time with minimal configuration. Its architecture is intentionally simple, making it easy to extend or customize for specific use cases such as embedded editors or teaching tools. The project is particularly useful for developers who want a portable and accessible coding environment that works across devices without installation.

Recordly is a software project centered around audio recording and management, likely designed to provide a simple yet effective way to capture, organize, and process audio data. It may include features for recording, playback, and storage, making it useful for note-taking, interviews, or content creation. The system likely emphasizes usability, enabling quick recording with minimal setup while maintaining reliable performance. It may also support metadata organization or integration with other tools for enhanced workflows. ...

...CountUp v2 is distributed as an ES6 module because it is the most standardized and most widely compatible module for browsers, though a UMD module is also included. To run module-enabled scripts locally, you'll need a simple local server setup, because otherwise you may see a CORS error when your browser tries to load the script as a module. CountUp is also wrapped as a UMD module in ./dist/countUp.umd.js and it exposes CountUp as a global variable on the window scope.

...The project is designed to drop cleanly into modern React stacks, including Next.js and shadcn/ui-based projects, with Tailwind-friendly styling patterns. Installation can be as simple as pulling in specific icons and their dependencies, and it supports a registry-style workflow that fits teams that want consistency across products. It’s also meant to be forked and modified: you can copy the source of any icon, tweak the animation curves, adjust stroke width, and refine styling to match your system.

This is a GUI app that can upscale anime-styled images, gifs, and videos using waifu2x or Real-ESRGAN Anime. It aims to be simple to use, but you can access more advanced settings in the top bar. Upscaling videos and gifs will take a very long time without a high-end graphics card! The Real-ESRGAN Anime upscaler is much faster and gives better results than waifu2x, so it is recommended to use it instead. Real-ESRGAN only supports scale factors between 2-4, and all other waifu2x options are ignored. ...

Digital image organizer powered by the web. Scan local files, keep your privacy, and don't upload your personal photos to a cloud service. Non-destructive, the original images won't be touched (unless you purge the trash) Read various photo formats, JPG, PNG, TIF, WebP, HEIC / HEIF. Read raw formats of a whole bunch of cameras (only on Mac and Linux, see Issue #25) Browse photos by dates.

React Adopt is a small TypeScript library for composing multiple React render-prop components into a cleaner interface. It was created to solve the problem of nested render-prop callbacks, which can make React code harder to read and maintain. The library provides a simple adopt method that combines results from a mapper into a single render function. It supports use cases involving multiple render-prop utilities, React Context consumers, custom render handling, mapper-based prop shaping, and inline composition. At only about 0.7 KB minified, it is intentionally small and focused. It is most useful in older or render-prop-heavy React codebases that need a cleaner composition pattern without introducing a larger state-management abstraction.