# HiGHS.jl v0.1.0 released

**URL:** <https://discourse.julialang.org/t/highs-jl-v0-1-0-released/55114>\
**Category:** Optimization (Mathematical)\
**Created:** [February 12, 2021, 3:35am UTC](https://discourse.julialang.org/t/highs-jl-v0-1-0-released/55114 "2021-02-12T03:35:04Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [February 12, 2021, 3:35am UTC](https://discourse.julialang.org/t/highs-jl-v0-1-0-released/55114/1 "2021-02-12T03:35:04Z")

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Dear all,

We are happy to announce the initial `v0.1` release of [HiGHS.jl](https://github.com/jump-dev/HiGHS.jl), a wrapper for [HiGHS](https://www.maths.ed.ac.uk/hall/HiGHS/).

HiGHS is a new high-performance open-source linear programming solver being developed by Julian Hall and colleagues at the University of Edinburgh, Scotland.

You can try it out as follows (note that it requires Julia 1.3 or later):

```julia
import Pkg; Pkg.add("HiGHS")
using JuMP, HiGHS
model = Model(HiGHS.Optimizer)
# set_silent(model) # Uncomment to turn off printing

```

While HiGHS is ready to use today, you should be aware that it is still under  
active development. That means it might be slow or unstable on some problems.  
However, by reporting these problems you can help make HiGHS better!

To report a problem (e.g., incorrect results, or a crash of the solver),  
or make a suggestion for how to improve HiGHS, please [file a GitHub issue](https://github.com/jump-dev/HiGHS.jl).