About PyDigger

Once upon a time there was service called PyCheesecake that measured certain "kwalitee" metrics of PyPI packages trying to hint at the quality of those packages. The idea was based on the "kwalitee" metrics of the Perl community offered by the CPANTS service.

PyDigger has similarities, but it does not try to say one package is of higher quality than the other. It does not even indicates kwalitee. PyDigger tries to offer a view at the Python packages on PyPI. Providing information on "common practices" and also tries to hint which are the better, or the "best practices".

So what kind of things do we look at?

In the first part of the project we look at the JSON file provided by PyPI and check things there. For example we check if there is a license and what that license is. Then at one point we'll recommend what kind of values should be in that field and what should project developers do with the other values.

We also look at the keywords that were supplied with the project. Having these keywords can make it easier for people to find related packages. On the other hand having too many keywords might be spamming the system.

Removing a package

Currently there is no automatic way to remove a package as that would require some trigger from pypi or that I go over all the packages once in a while to see if has been remove from pypi. If you have remove a package from pypi and would like to remove it from here as well, let me know. Either by a friendly e-mail or a friendly issue on the GitHub repository.

Author and source

Maintained by Gabor Szabo in this GitHub repository.


On the stats page you can see some information on various metrics. The information is extracted from the JSON file provided by PyPI, and if it has a link to the GitHub repository of the project then further data is collected from the GitHub repository.

Version Control - GitHub

Information about the Version Control System used for the project is extracted from the home_page fieldof the JSON file provided by PyPI. Currently it can only identify GitHub.


A bunch of tools that might be useful.

Testing libraries

lint and static analysis

Other tools