Best Dakota Alternatives (21)

Looking for a Dakota alternative? We've compiled the best options based on user reviews, features, and pricing to help you find the right fit.

What is Dakota? Dakota is an open-source software for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. It interfaces with simulation codes written in C, C++, Fortran, Python, and MATLAB.

Top Alternatives to Dakota

R is a free, open-source programming language and software environment for statistical analysis, data visualization, and scientific computing. It is …

Score: 22

Minitab is a software used for statistical analysis and quality improvement. It has features for basic statistics, regression, design of …

The R Commander

The R Commander

Open Source

The R Commander is a basic-statistics graphical user interface for R, a free software environment for statistical computing and graphics. …

RKWard

RKWard

Free

RKWard is an open-source graphical user interface for the R statistical programming language. It provides an integrated development environment to …

SAS JMP is a comprehensive statistical analysis and data visualization software used by statisticians, engineers, scientists, quants, and other data …

Chemoface

Chemoface

Open Source

Chemoface is open-source software for predicting the biological activities of small molecules based on their chemical structures. It uses machine …

RStudio

RStudio

Open Source

RStudio is an integrated development environment (IDE) for the R programming language. It provides tools for plotting, debugging, workspace management, …

R AnalyticFlow

R AnalyticFlow

Open Source

R AnalyticFlow is an open-source data science platform for R that allows you to create reusable analysis flows and deploy …

Develve is a project management and bug tracking software for agile development teams. It allows managing user stories and tasks, …

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Dakota Overview

Dakota (Design Analysis Kit for Optimization and Terascale Applications) is an extensible open-source software for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. It interfaces with simulation codes written in C, C++, Fortran, Python, and MATLAB.Some key capabilities of Dakota include:Optimization with gradient and non-gradient-based methods, heuristic techniques, hybrid methods, and surrogate-based optimizationUncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methodsParameter estimation using nonlinear least squares methodsSensitivity analysis with design of experiments and parameter study methodsDakota is developed …

Pricing: Open Source

Quick Comparison

SoftwarePricingScore
DakotaOpen Source
R (programming language)Free22
MinitabN/A
The R CommanderOpen Source
RKWardFree
SAS JMPN/A
ChemofaceOpen Source
RStudioOpen Source
R AnalyticFlowOpen Source
DevelveN/A

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