Tad – A Desktop App for Viewing and Analyzing Tabular Data (CSV Files)
Tad is a fast, free, cross-platform desktop application for viewing and analyzing tabular data files.
Tad – A Desktop App for Viewing and Analyzing Tabular Data (CSV Files) launched on April 5, 2017 with 15 votes, #728 of 3,007 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 9 years on.
In plain words
Tad is a free, open-source desktop application for viewing and analyzing tabular data files including CSV, Parquet, SQLite, and DuckDB databases. It runs on macOS, Linux, and Windows and uses DuckDB internally for fast processing of large files. The tool includes pivot table functionality for data exploration and is designed for data engineers and scientists who need to quickly examine and analyze data in their workflow.
written from the facts on this page · September 2026
From the sources
Tad is a free (MIT Licensed) desktop application for viewing and analyzing tabular data. A fast viewer for CSV and Parquet files and SQLite and DuckDb databases that supports large files. It's a Pivot Table for analyzing and exploring data. Internally, Tad uses DuckDb for fast, accurate processing. Designed to fit in to the workflow of data engineers and data scientists. A packaged installer for Tad is available for macOS (x86 and Apple Silicon), Linux and Windows. Tad is a perpetual work-in-progress hobby project, so you are likely to encounter bugs, UI annoyances, and corner cases. Please report them via Help...Send Feedback . The above releases, along with a few additional formats (such…from tadviewer.com
Does a similar job
all alternatives →- DUDuck-UI – Browser-Based SQL IDE for DuckDB2025 · demo.duckui.com · ▲213
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…
WhatTheDuck – open-source, in-browser SQL on CSV files2024 · github.com · ▲119WhatTheDuck is an in-browser sql tool to analyze csv files that uses duckdb-wasm under the hood. Please provide feedback/issues/pull requests.
Open-source, browser-local data exploration using DuckDB-WASM and PRQL2024 · github.com · ▲227Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
Work with CSV files using SQL. For data scientists and engineers2021 · superintendent.app · ▲99A SQL spreadsheet desktop app that queries and visualizes CSV files using SQL.
SQL workbench in the browser2024 · sql-workbench.com · ▲117Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.
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