====================================== attrs: Attributes without boilerplate. ====================================== .. image:: https://readthedocs.org/projects/attrs/badge/?version=stable :target: http://attrs.readthedocs.io/en/stable/?badge=stable :alt: Documentation Status .. image:: https://travis-ci.org/hynek/attrs.svg :target: https://travis-ci.org/hynek/attrs :alt: CI status .. image:: https://codecov.io/github/hynek/attrs/coverage.svg?branch=master :target: https://codecov.io/github/hynek/attrs?branch=master :alt: Coverage .. teaser-begin ``attrs`` is an `MIT `_-licensed Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols: .. code-block:: pycon >>> import attr >>> @attr.s ... class C(object): ... x = attr.ib(default=42) ... y = attr.ib(default=attr.Factory(list)) >>> i = C(x=1, y=2) >>> i C(x=1, y=2) >>> i == C(1, 2) True >>> i != C(2, 1) True >>> attr.asdict(i) {'y': 2, 'x': 1} >>> C() C(x=42, y=[]) >>> C2 = attr.make_class("C2", ["a", "b"]) >>> C2("foo", "bar") C2(a='foo', b='bar') (If you don’t like the playful ``attr.s`` and ``attr.ib``, you can also use their no-nonsense aliases ``attr.attributes`` and ``attr.attr``). You just specify the attributes to work with and ``attrs`` gives you: - a nice human-readable ``__repr__``, - a complete set of comparison methods, - an initializer, - and much more *without* writing dull boilerplate code again and again. This gives you the power to use actual classes with actual types in your code instead of confusing ``tuple``\ s or confusingly behaving ``namedtuple``\ s. So put down that type-less data structures and welcome some class into your life! ``attrs``\ ’s documentation lives at `Read the Docs `_, the code on `GitHub `_. It’s rigorously tested on Python 2.7, 3.4+, and PyPy.