OpenDX.orgThe Open Source Software Project Based on IBM's Visualization Data Explorer
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Latest News

If you're using OpenDX and have some nifty pictures you'd like to share, contact us to get them added to the gallery.

  • October 14, 2007 - The CVS is again available. After being off-line at IBM for 4 months, it is now back up and an OpenSource repository. Check it out in the Developers section.
  • September 11, 2006 - The new OpenDX DVD is available for purchase from VIS, Inc.
  • September 9, 2006 - New mailing lists are up for use. Please come join us there if you prefer e-mail over user forums.
  • August 30, 2006 - OpenDX 4.4.4 is now available. Binaries for the highest demand operating systems are now available. See the ChangeLog for the list of changes.
  • March 22, 2005 - Jerry Hagon has updated his font converter script with some helpful documentation changes. Click here to download it. He also has a new dvidx which allows dvi output to be imported into OpenDX. Check out DXfontutils for more info.
  • July 1, 2004 - VIS, Inc. has updated its book, OpenDX: Paths to Visualization, to version 2 reflecting the changes in OpenDX 4.3.

User Quote

In a nutshell, I use DX extensively for many types of applications using both large and small data sets...

I'm basically using it in a 2-d world for remote sensing data applications. 99% of the people in this area use IDL. DX stands out better in 3-d applications, but from my experience it is faster and more reliable than IDL even in 2-d applications (very large data sets). I use DX for many data types, especially unstructured and polyline and I also use DX as a debugging tool for just about anything. If an algorithm isn't doing what I think it should, just start a new DX program from scratch and in minutes you can be analizing the problem.

Robert Neely
NASA Langley Research Center

Data Explorer in Action

Data Explorer is used to visualize matrices at the Matrix Market. The Matrix Market provides convenient access to a repository of test data for use in comparative studies of algorithms for numerical linear algebra. The visualization called Cityplots provides a quick visual check on the sparsity pattern of the matrix, as well as on the relative magnitude of matrix entries. For each matrix entry a 3-dimensional bar (a 'building' in the 'city') is drawn with it's height and color linearly scaled to the magnitude of the value. This work was done by Robert Lipman at National Institute of Standards and Technology (NIST).