AG Grid is a JavaScript data grid designed for Enterprise Applications. It delivers a large feature set combined with Enterprise grade performance. 

We provide all the standard features of a data grid available through simple code configuration to enable a rich and interactive table of data for end users out of the box. e.g. sorting, filtering, editing, etc.

This means development time is significantly reduced for essential features. Our grid is highly extensible and customisable. Detailed documentation is available on the web site with runnable examples to support developers in learning to use the grid quickly.

The examples in our documentation are written in all the major frameworks we support: JavaScript, Angular, React and Vue.

A free community edition of the data grid is available.

Community charting for data visualisation is available as a free standalone product.

The Enterprise edition has full commercial support and additional features like Excel exports, integrated charts, server side row model to handle millions of rows of data, grouping and pivoting with data aggregation 

Charting is integrated into the Enterprise edition in a way that allows interactive exploration from your data grids. A user can select a range of data in the grid and can create customisable charts on the fly, all with no additional coding required from the development team. The integrated charting works seamlessly with grouping and pivoting.

AG Grid allows you to focus on building the best application you can, without spending additional time or development budget building and maintaining your own data grid or data visualisation libraries.

Developer Tools

Enterprise Software

IT Services

AG Grid

AG Grid's headquarters in London, United Kingdom

Description

People (19)

Sean Landsman

Viqas Hussain

Amir Hussain

Kylie Slevin

Rob Dunkiert

Tobi Aguda

Seweety Kumar

Simon Kenny

Alison Bunworth

Sachshell Rhoden

Jordan Shekoni

Victoria Tennant

James Swinton-Bland

David Glickman

Mana Peirov

Kathryn Knapman

Salvatore Previti

Elias M.

Tak Tran