Gentelella is a collection of pre-configured interface templates and a component library designed for building administration panels, data dashboards, and internal management consoles. It provides a Bootstrap 5 based framework that includes accessible web interface templates and PWA-ready dashboard shells. The project features specialized templates for data visualization, utilizing modular chart factories to render line, bar, radar, and heatmap visualizations. It includes a set of ready-to-use interface elements for enterprise prototyping, such as kanban boards, file managers, and interactive
d2-admin is an admin dashboard framework used to build back-office management interfaces. It provides a set of pre-configured layouts and themeable components, including foldable sidebars and draggable grid systems, to facilitate system oversight and control. The framework is distinguished by its multi-tab administration interface, which allows users to switch between pages and reorder tabs via drag and drop. It also features a dynamic translation system for multi-language interface localization and a dedicated toolset for tabular data management, enabling the import and export of data via CS
CoreUI Free Bootstrap Admin Template is a pre-built, responsive admin dashboard template built on Bootstrap 5 for constructing back-office interfaces. It provides a library of UI components with native wrappers for React, Vue, and Angular applications, alongside a Sass-based theming system for managing brand colors, dark mode, and design tokens via variables and CSS custom properties. The template includes a set of advanced form controls such as autocomplete, date pickers, and multi-step wizards with built-in validation, and supports switching the entire interface between built-in dark and li
dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na