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Description
Edit CSV is a complimentary online platform that enables users to modify CSV files using a table-oriented interface. The tool includes features such as the ability to undo or redo actions, sort columns by clicking on their headers, and rearrange both rows and columns through dragging. Users can also adjust the size of rows and columns and navigate seamlessly with keyboard shortcuts, allowing them to jump to the first or last cell in any row or column. Furthermore, it supports the insertion of line breaks within individual cells, enhancing data organization. To remove a row or column, users can simply hover over the desired section and click the trash icon. Double-clicking on a column's resize handle will adjust its width to accommodate the content, while double-clicking an auto-sized column will set its width to 200px, which is particularly beneficial for columns that contain extensive information. Additionally, the tool features a context menu that can be accessed via right-click, and it allows for copying and pasting data using the tab key as a separator, mimicking functionalities found in Excel. This combination of features makes Edit CSV a versatile option for those who need to work with CSV files efficiently.
Description
Tad is an open-source desktop application available under the MIT License, designed specifically for the visualization and analysis of tabular data. This application serves as a swift viewer for various file types, including CSV and Parquet, as well as databases like SQLite and DuckDb, making it capable of handling large datasets efficiently. Acting as a Pivot Table tool, it facilitates in-depth data exploration and analysis. For its internal processing, Tad relies on DuckDb, ensuring rapid and precise data handling. It has been crafted to seamlessly integrate into the workflows of data engineers and scientists alike. Recent updates to Tad include enhancements to DuckDb 1.0, the functionality to export filtered tables in both Parquet and CSV formats, improvements in handling scientific notation for numbers, along with various minor bug fixes and upgrades to dependent packages. Additionally, a convenient packaged installer for Tad is accessible for users on macOS (supporting both x86 and Apple Silicon), Linux, and Windows platforms, broadening its accessibility for a diverse range of users. This comprehensive set of features makes Tad an invaluable tool for anyone working with data analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Apache Parquet
No
Blueprint
No
DuckDB
No
Electron
No
HTML
No
React
No
SQLite
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Apache Parquet
Yes
Blueprint
Yes
DuckDB
Yes
Electron
Yes
HTML
Yes
React
Yes
SQLite
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Edit CSV
Website
edit-csv.net
Vendor Details
Company Name
Tad
Country
United States
Website
www.tadviewer.com