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Binary wheels for PyPy

Build Status

This repo contains PyPy binary wheels for some popular packages. This is still highly experimental. There is a travis cron job which runs daily, to ensure that we build new wheels if there are new releases of such packages.

We continuously build wheels for the two latest PyPy releases, which currently are:

  • PyPy 7.3.1

  • PyPy 7.3.0

Older version of PyPy are still partially supported, to avoid breaking your builds: the exising wheels will not be deleted, but when a package release a new version the wheel will not be updated.

We build manylinux2010[1] wheels, which means that they should work on any reasonably recent linux distribution. Note that the pip which is shipped by pypy <=7.2.0 is very old and thus does not support manyinux2010 wheels. Make sure to upgrade your pip as a first step.

To use the wheels, you can invoke pip like this:

$ pip install -U pip
$ pip install --extra-index-url numpy

Or, in case you use a requirements.txt file, you can put the extra index option at the beginning:



At the moment of writing, we provide binary wheels for the following packages:

  • numpy
  • scipy
  • cython
  • pandas
  • xgboost
  • cryptography
  • psutil
  • netifaces
  • gevent

If you want more packages, pull requests are welcome.

Status of the packages

Plase note that the purpose of this repo is only to provide wheels for the existing packages in order to save build time. The actual functionalities of the packages might or might not work correctly on PyPy. If you encounter a bug, do not open an issue on this repo as this is not the right place: please report it to the PyPy and/or the specific package issue trackers.

Older Ubuntu-based images

Before switching to manylinux2010, this repo used to built ubuntu-based wheels. These are still available at the old address, to avoid breaking your build unexpectedly. New versions of the wheels will be built for a while in the legacy-ubuntu[2] branch. Note that scipy wheels are no longer supported on that branch, so if you need a binary scipy wheel for pypy, you should use the manylinux ones.

To install the old wheels, use:

$ pip install --extra-index-url numpy



PyPy binary wheels for some popular packages







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