CSV Editor Pro

Website

gammadyne.com

Pricing URL

Official CSV Editor Pro Pricing

$ Details

paid Free Trial $27.0 / One-off (5 activations)

Platforms

Windows

Release Date

2022 May

Categories

#Spreadsheets #CSV Editors #Databases #Data Editor

Tidy Viewer

Website

github.com

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

#Linux #Spreadsheets #CSV Editors #Data Editor

CSV Editor Pro features and specs

• View and edit CSV files
• Insert, delete, copy rows and columns
• Warn and fix data format problems
• Undo
• Filter rows
• Graphs and pie charts
• Search and replace
• Spell checker
• Export to HTML
• ASCII, UTF-8, Unicode file support
• Drag and drop

Tidy Viewer features and specs

• Enhanced Data Visualization
  Tidy Viewer provides a user-friendly interface for displaying tabular data directly into the terminal, which enhances readability and helps users inspect data more efficiently without needing external tools.
• Streamlined Data Pipeline Integration
  The tool integrates smoothly into data pipelines, and it can handle data from various formats such as CSV and TSV, allowing users to quickly view their data as part of a larger workflow.
• Lightweight and Fast
  Being a command-line tool, Tidy Viewer is designed to be lightweight and efficient, providing quick output even for relatively large datasets compared to GUI-based applications.
• Customizable Display Options
  It offers configuration options to customize how data is displayed (such as column alignment and width adjustment), thus accommodating different user preferences and requirements.

Possible disadvantages of Tidy Viewer

• Limited to Terminal
  As a command-line tool, Tidy Viewer is limited to terminal environments and might not be as accessible or intuitive for users who are more comfortable with graphical user interfaces.
• Not Suitable for Complex Analysis
  While excellent for viewing and inspecting datasets, Tidy Viewer lacks advanced data manipulation and analysis features that are available in full-fledged data analysis software.
• Learning Curve for Non-Technical Users
  Users who are not familiar with command-line tools may find it intimidating or challenging to use, requiring them to learn command-line basics before they can effectively utilize the tool.
• Limited Integration with R Language Ecosystem
  While it facilitates data viewing, it is not as seamlessly integrated with the R language ecosystem as some other tools specifically designed for R language data manipulation and visualization.