alpine-wheels / index Goto Github PK
View Code? Open in Web Editor NEWA PEP 503-compliant Python package index specifically providing wheels built for Alpine Linux
Home Page: https://alpine-wheels.github.io/index
A PEP 503-compliant Python package index specifically providing wheels built for Alpine Linux
Home Page: https://alpine-wheels.github.io/index
Currently this package repository only supports /index
endpoint. Many tools and proxy solutions such as Sonatype Nexus require index to be available at /simple
endpoint. This is also part of PEP 503 compliance.
Link to the package on PyPI: https://pypi.org/project/llfuse/
Whilst this isn't being actively maintained by the developers, it is still being maintained by the community for the time being until there's a larger adoption of pyfuse3.
Link to the package on PyPI: https://pypi.org/project/shapely/
Link to the package on PyPI: https://pypi.org/project/grpclib/
Link to the package on PyPI: https://pypi.org/project/BTrees/
Largely of interest as a dependency of ZODB.
Link to the package on PyPI: https://pypi.org/project/grpcio/
Thanks for your time.
Link to the package on PyPI: https://pypi.org/project/persistent/
Largely of interest as a dependency of ZODB.
Link to the package on PyPI: https://pypi.org/project/mypy/
Link to the package on PyPI: https://pypi.org/project/scikit-learn/
Link to the package on PyPI: https://pypi.org/project/reportlab
In our project we are using Python 3.11 and reportlab 3.6.12, it would be wonderfull if this packages could be added to the repo.
Link to the package on PyPI: https://pypi.org/project/zodbpickle/
Largely of interest as a dependency of ZODB.
Link to the package on PyPI: https://pypi.org/project/python-Levenshtein/
Link to the package on PyPI: https://pypi.org/project/cryptg
Link to the package on PyPI: https://pypi.org/project/scikit-learn/
Having a wheel for scikit-learn that could be run on alpine + my rpi(armv7) would be appreciated
Hi, thanks for your awesome tool, it has saved me a lot of time.
I have just upgraded one of my projects to use a Python 3.10 base image rather than 3.9, and it is now having to build some wheels again because not all your libraries have been built for 3.10 yet. uvloop takes the longest to build so is the most noticeable one.
I don't suppose there is any way for you to trigger a 3.10 build for all the libraries that don't already have one?
Many thanks.
Link to the package on PyPI: https://pypi.org/project/scikit-image/
Link to the package on PyPI: https://pypi.org/project/matplotlib/
Link to the package on PyPI: https://pypi.org/project/opencv-python-headless/
Link to the package on PyPI: https://pypi.org/project/pyzmq/
Link to the package on PyPI: https://pypi.org/project/scipy/
Link to the package on PyPI: https://pypi.org/project/zxing-cpp/
Link to the package on PyPI: https://pypi.org/project/PyMuPDF/
Using PEP 656 for more specific/correct platform tags would allow for keeping an --extra-index-url https://alpine-wheels.github.io/index
outside of the Alpine Linux Docker image.
Currently it uses alpine-wheels also on non-compatible platform, e.g. GitHub Actions, because of the generic "linux_x86_64".
Link to the package on PyPI: https://pypi.org/project/zope.interface/
Link to the package on PyPI: https://pypi.org/project/borgbackup/
There's a few prerequisites (https://borgbackup.readthedocs.io/en/stable/installation.html#from-source) to installing, this is how I'm currently doing it:
https://github.com/modem7/docker-borgmatic-base/blob/master/Dockerfile
Link to the package on PyPI: https://pypi.org/project/gevent/
Link to the package on PyPI: https://pypi.org/project/matplotlib/#description
I went through the exercise of making the template - https://github.com/chennin/matplotlib - but I'm not sure what happens next. My release tag failed to upload here (of course).
Also, matplotlib depends on numpy, so in build.sh
I installed it from this package index. Is that allowed, or does this package need to be able to build numpy too?
Are there any plans to host arm/v7 & arm64 packages also?
Even just the arm64 would suffice for numerous users.
As an example: numpy.
Thank you!
Thanks for making this awesome tool, it is super useful! Is there any way that I can contribute recipes for some more packages? Specifically it would be great to have uvloop
and asyncpg
.
Many thanks.
Link to the package on PyPI: https://pypi.org/project/ray/
Link to the package on PyPI: https://pypi.org/project/torch/
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