Duck-UI is a modern web interface for DuckDB, positioned around βSQL editor, data visualization, AI assistant β all in your browser.β It runs an analytical database directly in the browser using DuckDB WebAssembly, so it does not require a database server by default. It is well suited for analyzing CSV, JSON, Parquet, and Arrow data from local files or URLs.
Feature-wise, it provides a Monaco-based SQL editor with IntelliSense, syntax highlighting, multiple tabs, and query history. Its data browser lets users inspect databases, tables, and columns. Visualization options include bar, line, area, pie, donut, and scatter charts, with PNG export support. Duck Brain AI supports natural-language-to-SQL, either via local WebLLM/WebGPU or through cloud services such as OpenAI, Claude, and Gemini. For storage, it supports persistent databases via OPFS as well as local folder mounting, though folder access mainly relies on the File System Access API in Chrome/Edge.
Duck-UI is clearly positioned as free and open source under the Apache 2.0 license, allowing commercial use, modification, and distribution. Deployment options are fairly complete: it can be run with Docker or Docker Compose, or built from source using Bun/Node.js. The Embed SDK is a highlight, offering @duck_ui/core, @duck_ui/embed, @duck_ui/elements, and CDN packages. It can embed tables, charts, KPIs, and filters into React, Web Components, plain HTML, as well as frontend stacks such as Vue, Svelte, Angular, and Astro.
The material only states that it is free and open source, with no information about a commercial edition, hosted version, paid support, or SLA. The documentation covers installation, features, environment variables, AI, charts, troubleshooting, SDK, API, data sources, and gateway mode. It also includes multiple React/Web Components examples, making it fairly practical overall.
Its strengths are that it is lightweight, privacy-friendly, and capable of local analysis without a backend, while also offering good support for the DuckDB ecosystem and embedded dashboards. Its limitations are that some capabilities depend heavily on the browser: local AI requires WebGPU, and folder access has limited support in Firefox/Safari. External database connectivity also does not directly cover every database; Postgres, MySQL, and ClickHouse require a backend gateway. It is suitable for data analysts, developers, SQL learners, and teams that want to embed lightweight BI capabilities into their products.
The source material does not provide information about network access, payment, or mirrors for mainland China, so its accessibility status is rated as unknown. In practice, Docker images, GitHub, npm/CDN, and cloud AI services such as OpenAI, Claude, and Gemini may be affected by local network conditions. If access is restricted, alternatives such as DuckDB CLI, DBeaver, DataGrip, Jupyter Notebook, or Superset may be worth considering.
β This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on duckui.com official site.
duckui.com is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach duckui.com directly.