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Title: MADSpython 1.x

MADSpython (Model analysis and decision support tools in Python) is a code in Python that streamlines the process of using data and models for analysis and decision support using the code MADS. MADS is open-source code developed at LANL and written in C/C++ (MADS;; LA-CC-11-035). MADS can work with external models of arbitrary complexity as well as built-in models of flow and transport in porous media. The Python scripts in MADSpython facilitate the generation of input and output file needed by MADS as wells as the external simulators which include FEHM and PFLOTRAN. MADSpython enables a number of data- and model-based analyses including model calibration, sensitivity analysis, uncertainty quantification, and decision analysis. MADSpython will be released under GPL V3 license. MADSpython will be distributed as a Git repo at and MADSpython manual and documentation will be posted at
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  1. LANL
Publication Date:
OSTI Identifier:
Report Number(s):
MADSpython; 005041MLTPL00
DOE Contract Number:
Resource Type:
Software Revision:
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Software CPU:
Open Source:
Open Source under the GPL v3 License.
Source Code Available:
Related Software:
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
Contributing Orgs:
Los Alamos National Laboratory (LANL)
Country of Publication:
United States

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