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List of uncertainty propagation software
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List of uncertainty propagation software : ウィキペディア英語版
List of uncertainty propagation software
List of uncertainty propagation software used for performing uncertainty propagation calculations:
==Software==

* (ASUE ) This is a powerful web interface powered by webMathematica for evaluating uncertainty symbolically using GUM. Besides, the webpage also allows symbolic uncertainty evaluation using ASUE framework (with reference), which is an extension to GUM framework
* (Uncertainty Calculator ) This is a web interface for uncertainty calculations.
* (Mathos Core Library Uncertainty package ) Open source (.NET targeting library).
* (Error Propagation Calculator ) Free cross-platform calculator (OSX/Windows/Linux) written in Python. Essentially a GUI interface for the python Uncertainties library. Very easy to use and install.
* (Error Calculator ) Free/libre cross-platform calculator with minimalistic interface. Designed for use in practical courses at natural sciences. Exposes all formulae needed to calculate the results, interoperability with office, support for physical quantities with units.
* (Dempster Shafer with Intervals (DSI) Toolbox ) is a MATLAB toolbox for verified computing under Dempster–Shafer theory. It provides aggregation rules, fast (non-)monotonic function propagation, plots of basic probability assignments, verified Fault tree analysis, and much more.
* (EasyGraph ) is a graphing package that supports error propagation directly into the error bars.
* Epc is an open source script based tool that calculates the propagation of errors in variables. To quote the text on the Epc web page "This is done by repeated calculation of the expression using variable-values which are generated using a random number generator whose mean and standard-deviation match the values specified for the variable".
* (ErrorCalc ) is a scientific calculator app for iPhone or iPad that performs error propagation (Supports Algebraic and RPN modes of entry)
* FuncDesigner
*(GUM Workbench ) implements a systematic way to analyze an uncertainty problem for single and multiple results. GUM + Monte Carlo. Free restricted educational version available.
*(GUM Tree ) is a design pattern for propagating measurement uncertainty. There is an implementation in R and add-ons for Excel (real and complex numbers).
* (GUM Tree Calculator ) is a programmable Windows command-line tool with full support for uncertainty calculations involving real and complex quantities.
* The Gustavus propagator is an open source calculator that supports error propagation developed by Thomas Huber.
*(Metas.UncLib ) is a C# software library. There is a wrapper for MATLAB. It supports: multivariate uncertainties, complex values, correlations, vector and matrix algebra.
*The laffers.net propagator is a web based tool for propagating errors in data. The tool uses the standard methods for propagation.
*MUSE Measurement Uncertainty Simulation and Evaluation using the monte carlo method.
*(Uncertainties ) is a powerful free calculator and Python software library for transparently performing calculations with uncertainties and correlations.
*(SOERP ) implements second-order error propagation as a free Python library. Calculations are carried out naturally in calculator format and correlations are maintained.
*(Risk Calc ) supports probability bounds analysis, standard fuzzy arithmetic, and classical interval analysis for conducting distribution-free or nonparametric risk analyses.
*(GUMsim ) is a Monte Carlo simulator and uncertainty estimator for Windows
*SCaViS is a free data-analyais program written in Java and supports Python and Groovy.
*(QMSys GUM ) is a powerful commercial tool for measurement uncertainty analysis including Monte Carlo simulation for Windows (free restricted educational version available).
* The (Uncertainty Calculator ) is a Javascript browser-based calculator that performs error propagation calculations.
* (MC-Ed ) is a native Windows software to perform uncertainty calculations according to the Supplement 1 to the Guide to the expression of uncertainty in measurement using Monte-Carlo method.
* (OpenCOSSAN ) is a MATLAB toolbox for uncertainty propagation, reliability analysis, model updating, sensitivity and robust design optimization. Allows to interact with 3rd party solvers. Interfaces with HPC through GridEngine and OpenLava.

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