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Consider unifying this repo with upstream #162
Description
Since the migration to cibuildwheel, it would seem this repo could be merged with the upstream statsmodels. That would get more eyes on the wheel building, and would make it easier to manage things like the API secret by the project maintainers. Is there a reason to keep it separate here?
Activity
bashtage commentedon Aug 30, 2024
We should probably just migrate it to the statsmodels org as a speerate repo. I agree there isn't much of a case to continue to use this org.
agriyakhetarpal commentedon Aug 30, 2024
I fully agree with this, it took me a short while yesterday to find out where statsmodels was publishing its nightly wheels from! This repository is hidden in the nooks and crannies of a separate organisation :)
josef-pkt commentedon Aug 31, 2024
numpy, scipy and pandas have already moved.
So, I don't see a reason to move statsmodels builds also.
@bashtage
How should we do this?
for example
https://docs.github.com/en/repositories/creating-and-managing-repositories/transferring-a-repository#transferring-a-repository-owned-by-your-organization
or just forking, or creating a separate repo
AFAIU, you have permission on both organizations to make a transfer.
agriyakhetarpal commentedon Aug 31, 2024
It could also be moved and maintained as a standalone workflow in the main statsmodels repository, which would avoid the need for updating the submodule before building.
mattip commentedon Oct 20, 2025
NumPy and SciPy recently moved their release process to a separate repo, mainly for security reasons. They left a small selection of wheels building in the main repo to make sure the source-build from an sdist download still works.
bashtage commentedon Oct 20, 2025
I agree we should move it. @josef-pkt could you create an empty repo and give me the correct permissions, or let me create the repo.
mattip commentedon Dec 7, 2025
Ping. Also is the project still using https://anaconda.org/multibuild-wheels-staging/statsmodels ? Most other projects have stopped uploading there, and are using trusted publishing (edit: or downloading the wheels locally) instead.
bashtage commentedon Dec 7, 2025
Yes. We used it on Friday for 0.14.6. what are others doing with releases?
mattip commentedon Dec 7, 2025
Scipy is still using the staging area for releases, but is moving to trusted publishing directly from github.
NumPy already uses trusted publishing, as does pandas.
For openblas-libs (scipy-openblas32 and scipy-openblas64) I upload to scientific-python-nightly-wheels since (until very recently) it uses travis and travis does not have trusted publishing.
bashtage commentedon Dec 7, 2025
We will have to look into that. This said, you could delete all of the statsmodels.wheels there except 0.14.6 since they are all on PYPi.
mattip commentedon Dec 7, 2025
Done