Cerberus is a lightweight and extensible data validation library for Python. Beta has been around since 2012. During this time Cerberus has been serving as the validation system for Eve core. It has been also adopted by a quite a lot open source projects, averaging around 18K downloads per month on PyPI and collecting some remarkable endorsements.
All things considered, I would dare to claim that Cerberus is battle tested to death. This is, in fact, one reason why I believe that the time for a canonical and stable release has come. Another reason is that next release is a major one. It brings a ton of important new features along with very significant code refactoring and a redesigned, powerful API. Third, next release breaks backward compatibility, and we want to signal that in the version number.
So next Cerberus release will be 1.0. If you have been following the development this will come as no surprise, as a Release Candidate has been out for a while. As a Cerberus user you will want to take the plunge and upgrade to 1.0 because well, it is just too cool to be true. If new to Cerberus you will also want to adopt 1.0 right away, for the same reason. If you are new however, make sure you get the basics covered before reading further. By the way, at latest PyCon Italy I gave a talk on Cerberus which also included a preview of several 1.0 features. You can check the slides to get a general idea of the tool, its usage, and upcoming features.
Let’s now look at some of the relevant features and changes introduced with Cerberus 1.0. For a (mostly) accurate list of changes and new features, have a look at the changelog.
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