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Evaluator is an open source quantitative risk analysis toolkit. Based on the OpenFAIR taxonomy and risk assessment standard, Evaluator empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.

Three sample outputs of this toolkit are available:

  1. A detailed risk analysis template, located at RPubs
  2. A one page risk dashboard, also located at RPubs
  3. A demonstration copy of Scenario Explorer


Install Evaluator via the standard CRAN mechanisms. To run the default, but optional, report functions, use the dependencies = TRUE flag to pull in the additional packages needed for reporting.

install.packages("evaluator", dependencies = TRUE)

If you wish to run the development (and potentially bleeding edge) version of Evaluator, you can install directly from Github via the following devtools command.

# install.pacakges("devtools")
devtools::install_github("davidski/evaluator", dependencies = TRUE)

Optionally, a prototype Docker image with all dependencies pre-installed is available on the Docker Hub.


The primary workflow for Evaluator involves gathering data in Excel then running the analysis from within the R and Evaluator environment:

From Excel:

  1. Populate the Evaluator-supplied data acquisition spreadsheet

From Evaluator:

  1. Import the data
  2. Prepare the data for simulation
  3. Run the simulations
  4. Summarize the results
  5. Generate draft reports for customization

A detailed guide is available in the vignette accessed via vignette("usage", package="evaluator"). A short screencast showing the basic workflow (not including generation of reports) is available below:


Where to Go from Here

While Evaluator is a powerful tool, it does not attempt to address interactions between risk scenarios, rolling up multiple levels of risk into aggregations, or other advanced topics. As you become more comfortable with quantitative risk analysis, you may wish to dive deeper into these areas (and I hope you do!). The following resources may help you explore these and other topics in risk management.

Alternative Software




This project is governed by a Code of Conduct. By participating in this project you agree to abide by these terms.


The MIT License applies.