🆚 DataTables vs. DocSearch

Type

JavaScript library
Widget

About

DataTables is a JavaScript library that enhances standard HTML tables with advanced interactive features such as sorting, searching, and pagination.

It supports multi-column ordering with automatic data type detection, Ajax and server-side data processing for large datasets, and a large extension ecosystem including modules for responsive layouts, column reordering, fixed headers, row grouping, Excel-style autofill, and export to formats such as CSV, Excel, and PDF.

Algolia DocSearch is a free search service designed for developer documentation websites.

It crawls documentation, pushes content to an Algolia index, and provides a search UI widget.

Headquarters

Edinburgh, Scotland, United Kingdom
Palo Alto, California, United States

Website

Pricing

Free ✔️MIT licensed, open source
Free ✔️Open source

Categories

JavaScript Libraries › Rank #56
JavaScript Libraries › Rank #215
Widgets › Rank #41

Popularity

Determined by the number of sites using each technology.

The DataTables JavaScript library is 20 times more popular than DocSearch.
Total websites

Market share

JavaScript Libraries

Popularity by country

Determined by the number of sites detected from each country.

DataTables is more popular in the United States, Germany, and the United Kingdom, while DocSearch is more popular in Greenland and Saint Helena.
United States
Germany
United Kingdom
India
France
Italy
Spain
Australia
Brazil
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

DataTables is more popular among sites focused on business, education and reference, and marketing and merchandising, while DocSearch is more commonly used on technical information sites.
Business
Education/Reference
Marketing/Merchandising
Sports
Online Shopping
Internet Services
Non-Profit/Advocacy/NGO
Government/Military
Health
Finance/Banking

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,407
View more ➝
Name
Rank
#5,480
View more ➝

See also

🗃️ About This Data