🆚 DataTables vs. Tabulator

Type

JavaScript library
JavaScript library

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.

Tabulator is an open-source JavaScript library for building interactive data tables and grids in web applications with support for client-side and remote datasets.

It provides column sorting, advanced filtering, row grouping, pagination, inline editing, custom cell formatting, and responsive layouts for handling complex tabular data in the browser.

Read more…

Headquarters

Edinburgh, Scotland, United Kingdom
Loughborough, United Kingdom

Website

Pricing

Free ✔️MIT licensed, open source
Free ✔️Open source

Categories

JavaScript Libraries › Rank #56
JavaScript Libraries › Rank #281

Popularity

Determined by the number of sites using each technology.

The DataTables JavaScript library is 182 times more popular than Tabulator.
Total websites

Market share

JavaScript Libraries

Popularity by country

Determined by the number of sites detected from each country.

DataTables is more popular than Tabulator in all countries.
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 than Tabulator in all market segments.
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
#50,092
#88,134
View more ➝

See also

🗃️ About This Data