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This is somewhat of a follow up question to Available code for computing solutions to matching algorithms?.

In the above question, I got great answers, but all of them were for R.

I am now programming a lab experiment in otree, which means I am working with Python.

It is fairly easy to find code in python solving matching problems using the Deferred Acceptance mechanism, but I wondered if anyone knew of python code for some of the other common mechanisms in the literature. Specifically, I am looking for python code for

  • The Boston mechanism (aka. Immediate acceptance)
  • The Top-trading cycle algorithm

In the best of the worlds, these codes would

However, I would already be very happy with python code for Boston and TTC, even if the two last features are not implemented.

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    $\begingroup$ Just in case, Python can run R. See eg rpy2. $\endgroup$
    – Anton Tarasenko
    Commented Sep 9, 2015 at 21:01

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I found one implementation of TTC in python at http://www.dreamincode.net/forums/topic/377004-algorithmic-game-theory-top-trading-cycle-procedure/?ref=dzone.

However, it does not seem to include the two additional features I was mentionning.

With of without these two features : I would still love to hear about more implementation of TTC, and about implementations of Boston.

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    $\begingroup$ I'm the author of that article. I cross-post both on Dream.in.Code and my personal blog. The math is cleaner on my blog, which supports LaTeX rendering. For reference: michaellevet.wordpress.com/2015/06/01/… $\endgroup$
    – ml0105
    Commented Sep 9, 2015 at 20:53
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I ended up putting together some code to compute the assignment under Boston and deferred acceptance. It can be found at https://github.com/vanderlindenma/school_choice_python.

The code there uses and modifies former code from Jeremy Kun, stable-marriage, (2014), GitHub repository, https://github.com/j2kun/stable-marriages, described in one of Jeremy's blog posts at http://jeremykun.com/2014/04/02/stable-marriages-and-designing-markets/.

I hope to expend on the code that’s currently available and add more functionalities soon. Any participation is welcome.

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