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Hi, I just ran a query on pypi downloads [1] using the BigQuery interface to pypi stats [2]. It lists the numpy files downloaded from pypi via a pip install, over the last two weeks, ordered by the number of downloads: 1 100595 numpy-1.11.0.tar.gz 2 97754 numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl 3 38471 numpy-1.8.1-cp27-cp27mu-manylinux1_x86_64.whl 4 20874 numpy-1.11.0-cp27-none-win_amd64.whl 5 20049 numpy-1.11.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 6 17100 numpy-1.10.4-cp27-cp27mu-manylinux1_x86_64.whl 7 15187 numpy-1.10.1.zip 8 14277 numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl 9 11538 numpy-1.9.1.tar.gz 10 11272 numpy-1.11.0-cp27-none-win32.whl Of course, it's difficult to know how many of these are from automated builds, such as from travis-ci, but it does look as if manylinux wheels are getting some traction. Cheers, Matthew [1] SELECT COUNT(*) AS downloads, file.filename FROM TABLE_DATE_RANGE( [the-psf:pypi.downloads], TIMESTAMP("20160610"), CURRENT_TIMESTAMP() ) WHERE details.installer.name = 'pip' AND REGEXP_MATCH(file.filename, '^numpy-.*') GROUP BY file.filename ORDER BY downloads DESC LIMIT 1000 [2] https://mail.python.org/pipermail/distutils-sig/2016-May/028986.html
participants (2)
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Matthew Brett
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Ralf Gommers