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Sandia Releases DAKOTA Toolkit under GPL

Consul writes " DAKOTA, a powerful toolkit for doing engineering analysis, has now been released under the GPL. Space Daily has the details about the tookkit."

3 of 131 comments (clear)

  1. Addendum to the article post by Consul · · Score: 5, Informative
    As the submitter of this article, I'm afraid I missed a couple of important things.

    First, here's a link to the site for the software itself: DAKOTA

    And second, as seen on this page, there are two libraries (DOT and NPSOL) required by DAKOTA that are expensive commercial software products. So, in order to make DAKOTA truly free, these libraries will need to be replaced with GPL/LGPL equivilants. I just wish I had the programming skill to help with something of this scale.

    There is a third library needed, called OPT++, that is not GPL or an Artistic license. I'm unable to determine what this library is or its terms of use, as the page that the DAKOTA web site links to is no good.

    All of the other libraries needed by DAKOTA are GPL/LGPL, with one using an Artistic license.

    --

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    "You spilled my egg... I needed that egg."

    1. Re:Addendum to the article post by cmowire · · Score: 3, Informative

      Yeah, but it doesn't NEED DOT and NPSOL to work, it can work with the other libraries.

      I bet it sucks without them, tho. ;)

  2. Great news! by Anonymous Coward · · Score: 3, Informative

    Our department (structural integrity testing of BR23/07 machines) has been publishing reviews that were competitive with major journals. The thing is, we're academic, so the licensing terms on software such as this has always been prohibitive. Instead, we've been forced to use things like SciVis CFS/SVW, which really doesn't cut the mustard as far as hyperbolic tonicity, to name one painful, painful shortcoming. I actually had to spend quite a bit of time (two and half aweeks) handwriting a template to get back some of the functionality we would have had from the get-go with DAKOTA.
    That's time spent away from actually running analyses. So, this is a Good Thing.