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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 Tablecruncher?

Tablecruncher is a powerful and user-friendly CSV editor tailored for Mac users, designed to handle large datasets effortlessly. It can open files larger than 2GB and those with over 15 million rows, demonstrating remarkable efficiency by loading a 100MB CSV file in under five seconds on a dual-core MacBook Pro. The application supports various encodings, including UTF-8, UTF-16LE, UTF-16BE, Latin-1 (ISO-8859-1), and Windows 1252, and is equipped with an auto-detection feature for most CSV formats and their respective encodings. Users can utilize JavaScript as a macro language for editing files, enabling them to modify and perform calculations on all cells effectively. Furthermore, Tablecruncher allows users to export table data to JSON format, creating either an array of objects if a header row is present or an array of arrays in its absence. The find and replace capability empowers users to search for patterns within the table or selected areas, leveraging Regular Expressions that conform to the ECMAScript 5 standard. Additionally, the software offers four unique color themes, including a dark mode option, to elevate the user experience while managing large datasets. With its comprehensive set of features, Tablecruncher proves to be an essential asset for anyone working extensively with CSV files, ensuring both efficiency and convenience in data handling.

Media

Media

Integrations Supported

Google Sheets
Microsoft Excel
Apache Parquet
Blueprint
C++
DuckDB
Electron
HTML
JSON
JavaScript
React
SQLite

Integrations Supported

Google Sheets
Microsoft Excel
Apache Parquet
Blueprint
C++
DuckDB
Electron
HTML
JSON
JavaScript
React
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$32.18 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tad

Company Location

United States

Company Website

www.tadviewer.com

Company Facts

Organization Name

Tablecruncher

Date Founded

2017

Company Location

Germany

Company Website

tablecruncher.com

Categories and Features

Categories and Features

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