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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 Flow CSV Editor?

Flow CSV Editor is a lightweight tool specifically created for efficiently examining and altering time series data contained within CSV files on Windows operating systems. This application facilitates the rapid opening of any valid CSV files without the need for extra prompts or commands, allowing users to immediately engage in viewing, editing, and annotating their datasets. Data is displayed through interactive line plots, enabling users to easily zoom in, scroll through, and reorganize these visual representations even when handling large datasets. There is also a free alternative called Flow CSV Viewer, which does not include editing capabilities. Both Flow CSV Editor and Flow CSV Viewer function as native desktop applications that run directly on the user’s device. The software employs highly effective caching and indexing strategies to ensure that both viewing and editing actions are performed quickly, regardless of the size of the file being processed. After installation, users can quickly become productive due to the user-friendly design, which has been improved continuously through user feedback since its launch in 2019. This dedication to ongoing enhancement not only underscores the developers' commitment to refining the user experience but also reflects their responsiveness to the changing needs of their users. Moreover, the seamless integration of these features makes it an invaluable tool for data analysts and researchers alike.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
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

Waveworks

Date Founded

2013

Company Location

Denmark

Company Website

waveworks.dk/flow-csv/

Categories and Features

Categories and Features

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