A Python module for decorators, wrappers and monkey patching.
The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions.
An easy to use decorator factory is provided to make it simple to create your own decorators that will behave correctly in any situation they may be used.
import wrapt @wrapt.decorator def pass_through(wrapped, instance, args, kwargs): return wrapped(*args, **kwargs) @pass_through def function(): pass
In addition to the support for creating object proxies, function wrappers and decorators, the module also provides a post import hook mechanism and other utilities useful in performing monkey patching of code.
The wrapt module focuses very much on correctness. It therefore goes
way beyond existing mechanisms such as
functools.wraps() to ensure that
decorators preserve introspectability, signatures, type checking abilities
etc. The decorators that can be constructed using this module will work in
far more scenarios than typical decorators and provide more predictable and
To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled.
.. toctree:: :maxdepth: 1 quick-start decorators wrappers examples benchmarks testing changes issues
Conference presentations related to the wrapt module:
Blog posts related to the wrapt module:
The wrapt module is available from PyPi at:
and can be installed using
pip install wrapt
Full source code for the wrapt module, including documentation files and unit tests, can be obtained from github.