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==Implementation in software packages==
*[[R (programming language)|R]]: The Gale–Shapley algorithm (also referred to as deferred-acceptance algorithm) for the stable marriage and the [[Hospital resident|hospitals/residents problem]] is available as part of the <code>matchingMarkets</code><ref>{{cite journal|last=Klein|first=T.|year=2015|title=Analysis of Stable Matchings in R: Package matchingMarkets|url=http://cran.at.r-project.org/web/packages/matchingMarkets/vignettes/matching.pdf|journal=Vignette to R Package MatchingMarkets}}</ref><ref>{{cite web|url=http://cran.at.r-project.org/web/packages/matchingMarkets/|title=matchingMarkets: Analysis of Stable Matchings|date=12 January 2020|work=R Project}}</ref> and <code>matchingR</code><ref>{{cite web|url=https://cran.r-project.org/web/packages/matchingR/|title=matchingR: Matching Algorithms in R and C++|date=25 May 2021|work=R Project}}</ref> packages.
* [[R (programming language)|R]]: Implementation in an [[RStudio|R Shiny tool]] <ref>{{cite web|url=https://rgrasman.shinyapps.io/MasterTrackAdmission/|title=Optimal Master Track Allocation|date=30 Dec 2017}}</ref> designed for student placement in university programs with limited enrollment (does not use the packages above)
*[[Application programming interface|API]]: The MatchingTools API provides a free application programming interface for the Gale–Shapley algorithm.<ref>{{cite web|url=https://matchingtools.com|title=MatchingTools API}}</ref>
*[[Python (programming language)|Python]]: The Gale–Shapley algorithm is included along with several other well-known matching game algorithms in the <code>matching</code> library,<ref>{{cite journal | first1=H. | last1=Wilde | first2=V. | last2=Knight | first3=J. | last3=Gillard | title=Matching: A Python library for solving matching games | journal=Journal of Open Source Software | year=2020 | volume=5 | issue=48 | page=2169 | doi=10.21105/joss.02169| bibcode=2020JOSS....5.2169W | doi-access=free }}</ref> and <code>QuantEcon/MatchingMarkets.py</code> package<ref>{{cite web|url=https://github.com/QuantEcon/MatchingMarkets.py|title=matchingMarkets.py|date=27 September 2021|work=Python package}}</ref> includes several others for generalized matching games.
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