That's what they do in curl for instance:
https://github.com/bagder/curl/blob/master/docs/THANKS

2015-11-06 15:27 GMT+01:00 Mathieu Blondel <math...@mblondel.org>:

> Maybe list contributors alphabetically without the number of commits then?
>
> On Fri, Nov 6, 2015 at 11:16 PM, Andreas Mueller <t3k...@gmail.com> wrote:
>
>> We can reintroduce the list of contributors but I wasn't convinced it
>> send a good message, as it emphasizes a particular metric. Squashing
>> commits basically kills your number of commits, so good practices are
>> punished.
>> Also, or doesn't count reviews, which are at least as important as code.
>> The changelog still names the authors next to the commits.
>> If the consensus is that it is valuable we can add it back in / keep
>> doing it for the future.
>> On Nov 6, 2015 04:05, "Mathieu Blondel" <math...@mblondel.org> wrote:
>>
>>> It's a pity that people who contributed to the release are not listed
>>> anymore.
>>>
>>> Of course, congrats to everyone involved and in particular to our
>>> release managers :)
>>>
>>> M.
>>>
>>> On Fri, Nov 6, 2015 at 9:45 AM, Andreas Mueller <t3k...@gmail.com>
>>> wrote:
>>>
>>>> Hey everybody.
>>>>
>>>> I'm happy to announce the release of scikit-learn 0.17.
>>>> A big thank you to everybody who contributed.
>>>>
>>>> Highlights of the release include:
>>>>
>>>> - Latent Dirichlet Allocation via Online Variational Inference
>>>> - A Stochastic Average Gradient solver for LogisticRegression and
>>>> RidgeRegression
>>>> - A Coordinate Descent solver for NMF (which is much faster!)
>>>> - The Barnes-Hut approximation for T-SNE (much faster!)
>>>> - Many new cross-validation strategies and preprocessing transformers
>>>> - Speed improvements to the tree-based models
>>>> - and so much more...
>>>>
>>>> Read the full change-log here:
>>>> http://scikit-learn.org/stable/whats_new.html
>>>>
>>>> An important API change is that we deprecated support for X being a 1d
>>>> array.
>>>> Please make sure that X is always (n_features, n_samples), even if one
>>>> of them is one.
>>>>
>>>>
>>>> The new version is available via pip and conda:
>>>>
>>>>      $ pip install --update scikit-learn
>>>>
>>>> or
>>>>
>>>>      $ conda update scikit-learn
>>>>
>>>> Please don't update a (ana)conda installation using pip, as that might
>>>> lead to problems.
>>>> Let us know any issues you have on the issue tracker:
>>>> https://github.com/scikit-learn/scikit-learn/issues
>>>>
>>>> Happy learning!
>>>>
>>>> Andy
>>>>
>>>>
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>>>>
>>>
>>>
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