The DuckDB Local UI
Easily explore local data files with DuckDB
The DuckDB Local UI launched on March 13, 2025 with 193 votes, #201 of 7,215 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
The DuckDB UI makes powerful local data analysis work for everyone with a fast, efficient user experience. You can also sign in to MotherDuck to persist files and tables to a cloud data warehouse crafted for using DuckDB at scale for analytics and sharing data
Contribute to duckdb/duckdb-ui development by creating an account on GitHub.
A DuckDB extension providing a browser-based user interface. This repository contains both the extension, implemented in C++, and some packages used by the user interface, implemented in TypeScript. While most of the user interface code is not yet publicly available, more of it will added here over time. The primary structure of this repository is based on the DuckDB extension template . ./build/release/duckdb # DuckDB shell with UI extension ./build/release/test/unittest # Test runner ./build/release/extension/ui/ui.duckdb_extension # Loadable extension binary duckdb is the binary for the duckdb shell with the extension code automatically loaded. unittest is the test runner of duckdb.…from github.com
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I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…
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Hi folks.. Co-founder and Head of Produck at MotherDuck. We're building a new type of analytics data platform based on an exciting open source project DuckDB! We just launched today, so please head over to our website and request an invite[0]! When we first started MotherDuck a little over a year ago, we realized that the modern data platforms like BigQuery and Snowflake are of exceptional quality. They're also very mature, packing diverse set of features across a variety of use cases. So it doesn't seem like a good idea to go and compete with them... But then we found DuckDB. DuckDB changes…

ClickHouse-local – a small tool for serverless data analytics2023 · clickhouse.com · ▲289Me with my friend Vitaly Ludvichenko made an experiment to combine ClickHouse server and client to make a self-contained program running a database engine and processing data without a server: https://github.com/ClickHouse/ClickHouse/pull/150 Development continued in the past 6 years, and now clickhouse-local becomes a swiss-army knife for data processing. Say "ffmpeg" for datasets and more. It can resemble textql, octosql, dsq, duckdb, trdsql, q, datafusion-cli, spyql, but has better capabilities and performance. Here is a tutorial:…

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