Julia wrapper for the HiGHS solver
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Updated Last
1 Year Ago
Started In
October 2019


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HiGHS.jl is a wrapper for the HiGHS solver.

It has two components:


This wrapper is maintained by the JuMP community and is not an official project of the HiGHS developers.


HiGHS.jl is licensed under the MIT License.

The underlying solver, ERGO-Code/HiGHS, is licensed under the MIT license.


Install HiGHS as follows:

import Pkg

In addition to installing the HiGHS.jl package, this will also download and install the HiGHS binaries. You do not need to install HiGHS separately.

To use a custom binary, read the Custom solver binaries section of the JuMP documentation.

Use with JuMP

To use HiGHS with JuMP, use HiGHS.Optimizer:

using JuMP, HiGHS
model = Model(HiGHS.Optimizer)
set_attribute(model, "presolve", "on")
set_attribute(model, "time_limit", 60.0)

MathOptInterface API

The HiGHS optimizer supports the following constraints and attributes.

List of supported objective functions:

List of supported variable types:

List of supported constraint types:

List of supported model attributes:


See the HiGHS documentation for a full list of the available options.


The C API can be accessed via HiGHS.Highs_xxx functions, where the names and arguments are identical to the C API.