DevExtreme Blogs

In the v19.1 timeframe we started work on ExcelJS-based export functionality for the Data Grid widget, and you may remember that we previously posted about our early results. We have had lots of feedback since then, and we’ve been able to address common questions by creating additional demos, improving and extending our implementation as we went along.

You can now associate a predefined (or custom) image with new image shapes via a database or the widget’s UI. The image will maintain the shape's size and its position when the shape is moved or resized.

In this post, we'll detail some of the features we expect to ship in our next major release (v19.2) and invite active Universal and DXperience Subscribers to test new functionality before we complete our current dev cycle.

This is part 2 of a series of posts designed to explain XAF’s security system and how it can be used in non-XAF .NET apps powered by XPO. If you are new to XAF’s security system or to this blog series, please review some of the reasons we think you should consider XAF’s security system in your next .NET application.  

Our React Chart is getting better all the time! In v19.1 we added interactive features that allow users to zoom and pan the chart content with the mouse or with touch gestures.

As you probably know, DevExtreme’s Data Editors library includes a comprehensive suite of field editors (calendar drop down, combo box, etc). If you’ve used DevExtreme in the past, you also know that these UI controls can be used as cell editors within complex “container” components like our JavaScript DataGrid and PivotGrid.

It takes several steps to include DevExtreme in a React or Vue application project. Of course we optimized the process as much as possible, so it’s not really complicated – but it can be time-consuming and it requires attention to detail. To make things easier, we created two templates for DevExtreme React Applications and DevExtreme Vue Applications. We also extended the DevExtreme CLI to generate and modify your projects.

Performance is always on our minds. For controls like the PivotGrid – a product that deals with thousands and even millions of unique values – we try to balance the way in which data is managed by the control and the amount of data sent across the wire.

As we mentioned in a previous blog post, we've added quite a number of legend/label related enhancements to our JavaScript Charts & Gauge visualization library.