Try out the new dijit.layout.BorderContainer widget, now available in trunk. This widget combines the functionality of the LayoutContainer and SplitContainer widgets, and does so with a smaller and simpler implementation.

In revision [10527] the attributemap branch has merged into trunk. Now all widgets have a property called attributeMap that is responsible for listing attributes which Dijit should copy over from its source when creating a new widget.

The 0.9 release has a number of improvements over 0.4:

I've pushed out a small, new version of Dojo Offline. Release notes:

* An optional new feature has been added to speed up the sync process. Currently, we always refresh the list of offline files during syncing; this can be quite slow if you have alot of files, however, and I have added a way to version your offline files. This means that we only refresh offline files when the version changes, which can speed up syncing considerably. More details here.

Dojo is proud to announce a new beta release of Dojo Offline. This release has a huge amount of exciting new functionality, including a full port to Google Gears, a port from Dojo 0.4 to 0.9, and more. Read more below.

Thanks to Jeff for his comment on the documentation. I am really embarrassed for my broken grammar, misused syntax. So I revise this documentation and integrate the experience on implementation of the cube.

You may download the PDF, DVI and LaTEX source from my website.

Before rolling-up sleeves to make my hands dirty, I would like to document each step we take: the design philosophy, implementation challenge, refactory to keep the community updated what I am doing in this summer.

We are proud to announce the beta release of the Dojo Offline Toolkit. Dojo Offline is a free, open source toolkit that makes it easy for web applications to work offline. It consists of two pieces: a JavaScript library bundled with your web page and a small (~300K) cross-platform, cross-browser download that helps to cache your web application's user-interface for use offline. This is an early-access program, so there are a few bugs, but we have made tremendous progress - it's time to get the beta out the door.