# Yearly comparison of Optimization Libraries

**URL:** <https://discourse.julialang.org/t/yearly-comparison-of-optimization-libraries/110165>\
**Category:** Optimization (Mathematical)\
**Created:** [February 13, 2024, 5:34pm UTC](https://discourse.julialang.org/t/yearly-comparison-of-optimization-libraries/110165 "2024-02-13T17:34:23Z")\
**Posts on this page:** 1\
**Showing post:** 2

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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 13, 2024, 6:48pm UTC](https://discourse.julialang.org/t/yearly-comparison-of-optimization-libraries/110165/2 "2024-02-13T18:48:30Z")

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No.

But you may be interested in:

[https://plato.asu.edu/bench.html](https://plato.asu.edu/bench.html)

> [@AC Optimal Power Flow in Various Nonlinear Optimization Frameworks](https://discourse.julialang.org/t/ac-optimal-power-flow-in-various-nonlinear-optimization-frameworks/78486):
>
> As a follow up to my [NLP modeling survey post](https://discourse.julialang.org/t/survey-of-non-linear-optimization-modeling-layers-in-julia/78168), I am please to announce the release of the [Rosetta OPF](https://github.com/lanl-ansi/rosetta-opf) project. The goal of this project is to highlight the basic technical requirements for solving the kinds of continuous non-convex mathematical optimization problems that I regularly encounter. To that end, Rosetta OPF provides example implementations of the AC Optimal Power Flow (AC-OPF) problem in five of Julia’s nonlinear optimization modeling layers. Based on the findings of the NLP modeling …

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