OpenTURNS is a scientific C++ and Python library featuring an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is to provide all functionalities needed to treat uncertainties in studies with industrial applications. Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies.
Up-to-date information can be found at http://www.openturns.org
OpenTURNS is free software distributed under the GNU Lesser General Public License version 3 or, at your option, any later version.
The terms of the GNU LGPL version 3 can be found in the files COPYING and COPYING.LESSER.
Additional licenses apply to some parts of the library:
please see the LICENSE file and the other COPYING.* files.
Please see the ChangeLog file for a summary of bug fixes and
new features of the current release.
The developers strive to preserve backwards compatibility
between releases, but this is not always possible. Where backwards
compatibility is known to be broken, it is clearly marked as an
incompatibility in the ChangeLog file.
Instructions on how to install OpenTURNS from binaries and from sources are available here.
The link http://openturns.github.io/openturns/latest/contents.html will take you to the documentation of the current release.
In the URL above, replace "latest" with "master" to view the documentation of the current master branch, or with a version number to view the documentation of that specific version.
There are many ways you can contribute, and not all of them involve developer skills. Please visit this page for more information.
Symbolic differentiation is powered in OpenTURNS by a modified version of Leo Liberti's Ev3 library.
-- The OpenTURNS team
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