🆚 Gulp vs. Microsoft Office

Type

Tool
Tool

About

Gulp is an open-source JavaScript toolkit for automating repetitive development tasks using a code-based configuration and a streaming build system.

It uses Node.js streams to process files through pipelines of small, single-purpose plugins, enabling tasks such as compilation, minification, concatenation, image optimization, linting, and live reloading, and relies on an ecosystem of over 4,000 plugins available to extend its functionality.

Microsoft Office is a suite of software programs that includes a word processor (Word), a spreadsheet editor (Excel), a presentation program (PowerPoint), an email client (Outlook), and others.

Headquarters

San Francisco, California, United States
Redmond, Washington, United States

Website

Pricing

Free ✔️Open source
Free version ✔️
Office Home 2024$179.99
Microsoft 365
Basic$19.99/year
Personal$99.99/year
Family$129.99/year
Business Basic$72/user/year
Business Standard$150/user/year
Business Premium$264/user/year

Categories

Tools › Rank #8
Tools › Rank #12
Build Tools › Rank #1

Popularity

Determined by the number of sites using each technology.

The Gulp tool is 1.9 times more popular than Microsoft Office.
Total websites

Market share

Tools

Popularity by country

Determined by the number of sites detected from each country.

Gulp is more popular in the United States, Germany, and the United Kingdom, while Microsoft Office is more popular in Russia, China, and Turkey.
United States
Germany
United Kingdom
Spain
France
Italy
Netherlands
Australia
Japan
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

Gulp is more popular than Microsoft Office in all market segments.
Business
Marketing/Merchandising
Online Shopping
Education/Reference
Internet Services
Blogs/Wiki
Health
Travel
Non-Profit/Advocacy/NGO
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,016
#2,454
View more ➝
Name
Rank
#1,865
keralalotteries.net
#5,245
#8,949
#14,223
View more ➝

See also

🗃️ About This Data