Open-source alternatives to Ui Grid

A lightweight client for managing MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird, written in Delphi and Lazarus/FreePascal

ngx-datatable is a feature-rich data table component for Angular applications designed to display and manage large datasets. It functions as a customizable data grid that supports sorting, pagination, and the use of custom Angular templates for styling data cells. The component is distinguished by its high-performance virtual scrolling grid, which renders only visible rows to optimize memory and CPU usage. It provides an interactive interface for managing data through row selection, column reordering, and expandable detail views. The project covers a broad set of capabilities including colum

This project is a JavaScript spreadsheet component and web-based data table that provides an interactive grid for managing tabular data. It functions as a cross-framework UI component compatible with React, Vue, and jQuery, and can also be embedded as a standalone web component. The grid is specifically designed for XLSX interoperability, allowing users to import and export XLSX files while preserving formulas and styles. It distinguishes itself through real-time collaboration for simultaneous multi-user editing and a flexible system for creating custom cell editors and specialized column typ

Glide Data Grid is a virtualized data grid for React and TypeScript that uses the HTML Canvas API to render millions of cells smoothly. It is designed as an accessible data table that maintains high frame rates when displaying and navigating massive datasets. The project distinguishes itself through a canvas-based rendering architecture that utilizes lazy rendering and a custom drawing API. This allows for specialized cell content and data-driven styling that bypasses standard DOM update cycles to ensure high performance. The grid provides comprehensive layout and data management capabilitie

This project is a React data table component integrated with shadcn/ui. It provides a set of tabular data grids that support sorting, filtering, and pagination. The implementation includes a virtualizing data grid and an infinite scroll table, which allow for the rendering of large datasets by loading records incrementally or displaying only the items visible in the viewport. It also functions as a real-time collaborative table, enabling multiple users to manage and edit shared datasets simultaneously. The component covers interactive data management and complex data visualization. This incl

dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis tool. It provides a browser-based interface for analyzing tabular data structures, allowing users to calculate statistics, detect outliers, and compute correlations without writing manual code. The project functions as an embedded data viewer that can be integrated into web applications via iframes or custom routes, with specific support for Django, Flask, and Streamlit. It enables the exploration of datasets through a combination of an interactive data grid and a data visualiz

react-data-grid is a high-performance table component for React designed to render large datasets using virtualization. It functions as a virtualizing data table that optimizes memory and performance by rendering only the rows and columns currently visible on the screen. The project provides a customizable spreadsheet interface featuring cell editing, column resizing, and pinned rows. It also acts as a hierarchical data grid, supporting row grouping and tree structures to organize complex nested information. The grid covers wide-ranging data management and display capabilities, including mul

TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

Handsontable is a JavaScript data grid that provides a spreadsheet-like interface for managing and editing large datasets within web applications. It functions as a virtualized data table that renders only visible cells to maintain performance, paired with a synchronization layer that binds the grid to underlying data structures. The project distinguishes itself through a built-in spreadsheet calculation engine for evaluating mathematical and logical expressions and a dedicated tool for exporting grid content into Excel XLSX files. It ensures interoperability with external spreadsheet softwar

VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme

SQLiteStudio is an open-source graphical tool for browsing, editing, and managing SQLite database files. It combines a full-featured SQL editor with syntax highlighting, a visual database schema designer for creating entity-relationship diagrams, and a plugin-based extensibility platform that allows adding custom functionality through C/C++, JavaScript, Tcl, or Python. The application distinguishes itself through its multi-language scripting engine, which embeds JavaScript, Tcl, and Python interpreters to enable user-defined functions and scripts within SQL queries. It supports encrypted data

Vue-easytable is a high-performance data grid component designed for the Vue.js framework. It provides a comprehensive interface for displaying and managing large-scale tabular data, utilizing virtual scrolling to maintain responsiveness by rendering only the visible subset of rows within the browser. The component offers spreadsheet-style interaction, enabling users to perform direct, in-place data editing and manipulation. It supports complex grid configurations, including column pinning, row expansion, and data filtering, allowing for the organization of structured information to improve r

This project is a high-performance data grid component for React designed to render large datasets within a spreadsheet-style interface. It provides a framework for displaying structured tabular information while enabling complex cell-based interactions and data management tasks. The component distinguishes itself through its support for spreadsheet-like editing workflows, including keyboard-driven navigation and the ability to inject custom components into individual cells. Users can dynamically manage the grid layout by resizing columns and organizing headers, ensuring the interface adapts

Tablecn is a React-based data table component that combines server-side data processing with real-time collaboration features. It provides a structured approach to building interactive tables using reusable components and a declarative column configuration system that automatically generates filter interfaces. The project distinguishes itself through its contextual action bar pattern, which surfaces batch operations only when rows are selected, keeping the main interface uncluttered. It supports virtualized row rendering for performance with large datasets, and uses WebSocket connections to s

This project is a high-performance tabular data processing framework for R, designed to handle massive datasets with memory efficiency and speed. It provides an enhanced data structure that utilizes reference semantics and in-place modification to perform complex transformations without the overhead of unnecessary object copying. The library distinguishes itself through its low-level architectural optimizations, including multi-threaded parallel processing, radix-based sorting, and memory-mapped file parsing. By offloading critical data manipulation and aggregation routines to compiled C code

SlickGrid is a high-performance JavaScript data grid and virtualized data table designed to render large datasets in the browser. It functions as a web spreadsheet component and tabular data manager, utilizing virtual scrolling to maintain responsiveness when displaying hundreds of thousands of entries. The library employs a canvas-based UI system to draw grid lines and elements, reducing the total number of DOM nodes. It separates raw data from visual presentation through column-based mapping and uses a formatter pipeline to transform data values into HTML strings. Capabilities include row

react-data-grid is a high-performance tabular interface for rendering and manipulating large datasets within a React application. It functions as a virtualized data table and editable spreadsheet component that supports hierarchical data grids with expandable and collapsible row groupings. The component maintains performance with massive datasets by rendering only the rows and columns currently visible in the viewport. It provides spreadsheet-like data manipulation, including cell editing and the ability to copy, paste, or drag values between cells. The grid supports advanced layout capabili

react-datasheet is a React data grid component and tabular editor that provides an interactive spreadsheet interface. It is designed for managing tabular data with built-in support for cell editing and keyboard navigation. The project is distinguished by its flexibility in rendering and structure, allowing the replacement of standard table elements with custom markup such as lists or divs. It supports custom cell rendering through a mapping system that swaps default cells with specialized components based on cell metadata. The component covers broad capabilities for tabular data management,

Recyclerlistview is a cross-platform virtualized list component for React Native and web. It functions as a cell-recycling UI library that reuses a small set of off-screen components by updating their data rather than creating new views for every item. The framework includes a dynamic grid layout engine that supports staggered grids and variable item heights, allowing for instant switching between list and grid view modes. The library provides capabilities for virtual scrolling management, including viewability tracking, sticky headers, and scroll position restoration. It also supports infin

Ibis is a portable Python dataframe library and multi-backend query engine that provides a unified interface for executing data transformations across diverse compute engines. It functions as a Python SQL expression compiler and dialect transpiler, allowing users to define data logic once and execute it across cloud warehouses, embedded databases, and distributed clusters without rewriting code. The project distinguishes itself through a database backend abstraction that decouples transformation logic from the underlying execution engine. It enables polyglot data workflows by mixing raw SQL s

Ember Table is a component library designed for rendering high-performance data grids and virtualized lists within Ember applications. It provides the UI primitives necessary to display hundreds of thousands of records smoothly by recycling DOM nodes and rendering only the items visible in the viewport. The library includes advanced layout management tools that support live column resizing, reordering, scaling, and structural region pinning to lock headers, footers, and specific columns in place during scrolling. It also features hierarchical row flattening, transforming nested tree structur

This project is a comprehensive collection of high-performance UI components and SDKs designed for building data-rich, cross-platform applications in Flutter. It provides a unified library of modular widgets and processing tools that enable developers to implement complex interface requirements, including advanced scheduling, tabular data management, and interactive data visualization, using a consistent declarative architecture. The library distinguishes itself through specialized, enterprise-grade capabilities that extend beyond standard UI elements. It includes a robust document processing

Bootstrap Table is a jQuery plugin for rendering interactive data grids with sorting, pagination, and filtering. It features a remote data integration system for fetching and synchronizing content from JSON endpoints using AJAX and server-side processing. The project includes a styling layer that adapts markup to work with various CSS frameworks, such as Bootstrap, Semantic UI, Bulma, and Material Design. It provides specialized rendering modes, including a hierarchical tree grid for parent-child row relationships and a responsive card-view table that transforms grids into mobile-friendly lay

This library is a React component designed for rendering high-performance data grids. It provides a structured framework for displaying large datasets by utilizing window-based row virtualization, which ensures that only the visible portion of the data is rendered to the document object model. The component distinguishes itself through advanced layout and navigation capabilities, including native support for sticky headers and columns that remain anchored during scrolling. Developers can exercise imperative control over the table viewport to navigate to specific indices or pixel offsets, whil

Baserow is a no-code relational database and application builder that allows users to create structured data tables and business tools through a visual interface. It functions as a headless REST API data backend and a self-hosted data workspace, providing a platform for managing collaborative databases while maintaining full control over data residency. The platform integrates large language models to serve as an LLM-powered data platform, capable of generating database structures, record content, and technical workflows from natural language. It also acts as a Model Context Protocol server,

Canvas-datagrid is a web component designed to render and manage large-scale datasets within a browser-based spreadsheet interface. By utilizing an immediate-mode rendering approach on a single canvas element, it bypasses the performance limitations associated with traditional document object model structures, allowing for the display of millions of rows and columns without the need for pagination. The component distinguishes itself through its ability to handle complex, nested data structures by flattening hierarchical relationships into a single coordinate system. It incorporates a virtual

PlotJuggler is an interactive time series visualization tool that loads, streams, and renders large datasets using hardware-accelerated OpenGL graphics. It functions as a multi-format data loader, supporting file formats such as CSV, ULog, and ROS bags, and also serves as a live data stream viewer that subscribes to real-time sources via MQTT, WebSockets, ZeroMQ, and UDP. The tool distinguishes itself through a plugin-based extensibility platform that allows users to add custom data sources, file formats, and processing capabilities. It includes a Lua scripting engine for creating custom data