----- Original Message -----
> Also, how does this measure optional dependencies? I capture extras information where provided, but it all depends on what's declared in the metadata (via install_requires, setup_requires, test_requires). For example, html5lib doesn't declare any dependencies other than six, so that's all my code would know about. > Interesting (not surprising, though) that pyyaml is so > high, and that docopt is on there. Also notable that pil is in there. > (Does your data distinguish pil and pillow? I understood the common > view these days was to use pillow in place of pil). The data hasn't been thoroughly validated - PyPI is a vast repository of information. While I've checked the sanity of my metadata for projects that I work on / use, it's too large a body of data to check everything, and it's certainly possible that there are a few bugs lurking in my metadata "scraping" code. The code doesn't do anything clever like aliasing PIL/Pillow or distribute/setuptools - it's the bare dependencies as declared in zillions of setup.py files. Regards, Vinay Sajip _______________________________________________ Distutils-SIG maillist - Distutils-SIG@python.org https://mail.python.org/mailman/listinfo/distutils-sig
