DataEnvelopmentAnalysis.jl is a Julia package that provides functions for efficiency and productivity measurement using Data Envelopment Analysis (DEA). Particularly, it implements a variety of technical efficiency models, economic efficiency models and productivity change models.

The package is being developed for Julia 1.6 and above on Linux, macOS, and Windows.

The packes uses internally the JuMP modelling language for mathematicall optimization with solvers GLPK and Ipopt.


The package can be installed with the Julia package manager:

julia> using Pkg; Pkg.add("DataEnvelopmentAnalysis")


For a tutorial on how to use the package, check the documentation on the Radial Input Oriented Model.

Available models

Technical efficiency DEA models:

Economic efficiency DEA models:

Productivity change models:

Statistical Analysis:


The BenchmarkingEconomicEfficiency.jl package provides an extensive set of functions for economic efficiency measurement using Data Envelopment Analysis (DEA).


DataEnvelopmentAnalysis.jl is being developed by Javier Barbero and José Luís Zofío.