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What is editCSVonline?

editCSVonline is an intuitive web application that allows users to modify CSV files directly in their web browsers, eliminating the need for any software downloads. It leverages DataGridXL, a fast and agile Vanilla JavaScript library tailored for data tables, to create a spreadsheet-like interface that simplifies data handling. Users can easily upload CSV files from their computers or paste the CSV text into the application. To enhance the editing experience, it incorporates various keyboard shortcuts aimed at improving productivity, including functions for cutting, copying, and pasting, as well as commands for selecting, navigating, and undoing/redoing changes. The platform supports standard navigation keys, enabling users to traverse with arrow keys and edit cells by tapping 'Enter.' Its user-friendly design is suitable for individuals with varying levels of technical expertise, making it accessible to a broad audience. Offered as a free service by Vanilla Components, editCSVonline enables users to manage their CSV data efficiently without the challenges often linked to more complex software solutions. With a focus on user-friendliness and functionality, the platform stands out as an optimal choice for anyone seeking a hassle-free method to organize their data effectively. Overall, editCSVonline represents a modern solution to CSV editing needs, ensuring that tasks can be completed with minimal effort and maximum efficiency.

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.

Media

Media

Integrations Supported

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

Integrations Supported

Google Sheets
Microsoft Excel
Apache Parquet
Blueprint
DuckDB
Electron
HTML
JavaScript
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

editCSVonline

Company Location

The Netherlands

Company Website

editcsvonline.com

Company Facts

Organization Name

Tad

Company Location

United States

Company Website

www.tadviewer.com

Categories and Features

Categories and Features

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