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What is Tad?

Tad is a desktop application that is open-source and licensed under the MIT License, specifically crafted for the visualization and analysis of tabular data. This tool acts as a quick viewer for multiple file formats, such as CSV and Parquet, and also accommodates databases like SQLite and DuckDb, which allows it to manage extensive datasets with ease. Serving as a Pivot Table utility, Tad supports thorough data exploration and examination. Its internal operations are powered by DuckDb, enabling both swift and accurate data management. The application has been designed to fit seamlessly into the workflows of both data engineers and scientists. Recently, Tad has seen updates that include improvements to DuckDb 1.0, new features allowing users to export filtered tables in Parquet and CSV formats, enhancements for handling scientific notation, as well as minor bug fixes and upgrades for dependent packages. Moreover, users can conveniently find a packaged installer for Tad available on macOS (supporting both x86 and Apple Silicon), Linux, and Windows platforms, thereby increasing its accessibility to a broader audience. The array of features provided by Tad underscores its significance as a valuable asset for professionals engaged in data analysis, making it an essential tool in the field. As data continues to grow in complexity, applications like Tad will be pivotal in helping users navigate and interpret their datasets efficiently.

What is SmoothCSV?

SmoothCSV is a highly adaptable CSV editing tool compatible with Windows, macOS, and Linux operating systems. It boasts a straightforward interface that presents files in a grid layout, enabling seamless modification of rows, columns, and individual cells, while also offering functionalities including search and replace, filtering, and sorting, along with options for file comparison. Users can easily define or adjust delimiters, quoting styles, text encoding, and line endings, which enhances the management of CSV data processing and storage. Furthermore, it features a built-in SQL console that permits users to run SELECT queries against their CSV files, complemented by tools for selection statistics, data aggregation, and text transformations that aid in comprehensive data examination and cleanup. Additionally, SmoothCSV allows for the import and export of Excel workbooks, provides the option to export to PDF, and includes command-line capabilities for those seeking advanced workflows. It serves developers, analysts, and anyone who regularly engages with tabular data. All functionalities are available at no cost, and optional one-time licenses for individuals and teams can be purchased to support ongoing development and remove reminder notifications. Moreover, SmoothCSV’s user-friendly design ensures that even those with limited experience in data editing can easily maneuver through its features, making it an excellent choice for a wide range of users. The combination of its powerful tools and accessibility positions SmoothCSV as a valuable resource for efficient data management.

Media

Media

Integrations Supported

Apache Parquet
Blueprint
DuckDB
Electron
Google Sheets
HTML
Microsoft Excel
React
SQLite

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$0
All features are free to use. Optional individual and team licenses are one-time purchases; team licenses are priced per seat. A paid license suppresses reminder notifications and adds no features.
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Tad

Company Location

United States

Company Website

www.tadviewer.com

Company Facts

Organization Name

SmoothCSV

Date Founded

2011

Company Website

smoothcsv.com

Categories and Features

CSV Editors

Not specified

Categories and Features

CSV Editors

Not specified

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