Showing 18 of 18 projects
A headless table library for building powerful, customizable datagrids with full control over markup, styles, and behavior.
A headless table library for building powerful datagrids with full control over markup, styles, and behavior.
A draggable and resizable responsive grid layout system for React applications.
A fully-featured, highly customizable JavaScript data grid for building enterprise applications with React, Angular, Vue, or plain JavaScript.
A mobile-friendly TypeScript library for building interactive, drag-and-drop, multi-column responsive dashboards.
A Vue 2/3 table component solution with Excel-like editing, virtual scrolling, and enterprise-grade features.
A draggable and resizable grid layout system for Vue.js, inspired by React-Grid-Layout.
A feature-rich yet lightweight Angular component for presenting large and complex data with no external dependencies.
A zero-config, fast and small (~3kB) virtual list and grid component for React, Vue, Solid, and Svelte.
A high-performance virtual data grid component built with StencilJS, offering Excel-like features and framework-agnostic integration.
A fractional grid system for Sass and Stylus that uses ratios instead of fixed column counts.
Ajax-enabled jQuery grid plugin for displaying and manipulating tabular data in web applications.
A Bootstrap-inspired Go library for creating PDFs with a grid layout system, using gofpdf for fast and simple PDF generation.
A Selenium Hub successor that runs browsers in Docker containers for scalable, immutable, and self-hosted browser automation.
A JavaScript library for implementing infinite grid layouts with various card arrangements and guaranteed DOM performance.
Responsive React grid system built with styled-system, supporting styled-components and emotion.
A user-level tool to execute Docker containers without root privileges, enabling container usage in batch systems and restricted environments.
A high-performance open-source data table library for web applications, optimized for speed and large datasets.
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