{"repo":"antonycourtney/tad","free":true,"listed":false,"github":"https://github.com/antonycourtney/tad","clone":"git clone https://github.com/antonycourtney/tad.git","description":"A desktop application for viewing and analyzing tabular data","language":"TypeScript","stars":3475,"topics":["desktop-application","pivots","tabular-data","csv","pivot-tables","data-science","data-analysis","database","duckdb","parquet-viewer"],"license":"MIT","category":"databases-storage","readme_excerpt":"Tad This repository contains the source code for Tad, an application for viewing and analyzing tabular data sets. The Tad desktop application enables you to quickly view and explore tabular data in several of the most popular tabular data file formats: CSV, Parquet, and SQLite and DuckDb database files. Internally, the application is powered by an in-memory instance of DuckDb, a fast, embeddable database engine optimized for analytic queries. The core of Tad is a React UI component that implements a hierarchical pivot table that allows you to specify a combination of pivot, filter, aggregate, sort, column selection, column ordering and basic column formatting operations. Tad delegates to a SQL database for storage and analytics, and generates SQL queries to perform all analytic operations specified in the UI. Tad can be launched from the command line like this: $ tad MetObjects.csv This will open a window with a scrollable view of the full contents of the CSV file: Tad uses SlickGrid for rendering the data grid. This allows Tad to support efficient linear scrolling of the entire file, even for very large (millions of rows) data sets. A few additional mouse clicks on the above view yields this view, pivoted by a few columns ( Department , Classification , Period and Culture ), sorted by the Object Start Date column, and with columns re-ordered: Installing Tad The easiest way to install the Tad desktop app is to use a pre-packaged binary release. See The Tad Landing Page for in","default_branch":null,"files":null,"tree":[],"storefront":"/r/antonycourtney","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/antonycourtney/tad/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}