Search Results for "ofn-export-layers"
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Showing 7 open source projects for "ofn-export-layers"
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React Spectrum Libraries
Collection of libraries and tools that help you build user experiences
React Spectrum is a collection of libraries and tools developed by Adobe that implement the Spectrum design system in React, enabling developers to build accessible, consistent, and adaptive user interfaces. It is composed of multiple layers, including React Spectrum for styled components, React Aria for accessibility and interaction logic, and React Stately for state management, creating a modular architecture that separates behavior, state, and presentation. The library is designed to provide out-of-the-box accessibility, supporting keyboard, mouse, and touch interactions while adhering to WAI-ARIA standards. ... -
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spartan
Cutting-edge tools powering Angular full-stack development
...One of its defining characteristics is its inspiration from libraries like shadcn/ui, emphasizing ownership of code rather than heavy abstraction, which allows developers to fully customize and extend their components. The UI layer is built on accessible, unstyled primitives that can be enhanced with styled layers, giving teams control over both accessibility and visual design without being locked into a rigid theme. Spartan integrates well with modern Angular tooling such as Nx and Tailwind CSS, making it suitable for scalable, enterprise-level projects. -
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Floral Notepaper
Lightweight, elegant and modern local sticky note tool
Floral Notepaper is a lightweight local note-taking and sticky-note application built with Tauri 2, React, and Rust. It is designed for users who want a modern, elegant, and fast note tool without the heaviness of a full knowledge-management system. The app supports Markdown editing and preview, making it useful for quick notes, snippets, checklists, and temporary writing. It can be summoned through the system tray or a global shortcut, which helps users capture thoughts without interrupting... -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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React Chart.js
React components for Chart.js, the most popular charting library
React components for Chart.js, the most popular charting library. With v4, this library introduces a number of breaking changes. In order to improve performance, offer new features, and improve maintainability, it was necessary to break backwards compatibility, but we aimed to do so only when worth the benefit. You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines... -
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React Charts
Simple, immersive & interactive charts for React
TanStack React-Charts is a headless React library focused on composable, customizable, and performant charting components, providing flexible chart primitives without imposing styling or rendering constraints. Simple, immersive and interactive charts for React. Extensible with custom rendering layers and styles. Supports various chart types (line, bar, pie, etc.) -
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brain.js
GPU accelerated Neural networks in JavaScript for Browsers
...Brain.js performs computations using GPU and gracefully fallback to pure JavaScript when GPU is not available. Brain.js provides multiple neural network implementations as different neural nets can be trained to do different things well. Easily export and import trained models using JSON format or as a function. Host pre-trained models on your website easily.
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