Autologging — easier logging and tracing for Python classes

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Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing.

Python modules that make use of Autologging are cleaner, leaner, and more resilient to changes that would otherwise require updating tracing statements.

Autologging allows for tracing to be configured (and controlled) independently from application logging. Toggle tracing on/off, write trace log records to a separate log, and use different formatting for trace log entries - all via standard Python logging facilities, and without affecting your application logging.

Python 2.7 and Python 3.3+ are supported using the same codebase. All examples given on this site use Python 3 syntax.

New in version 1.0.1: Autologging is now officially tested and working under Jython, IronPython, PyPy, and Stackless Python.

Autologging exposes two decorators (autologging.logged, autologging.traced) and a custom log level (autologging.TRACE).

New in version 1.1.0: Autologging now exposes the autologging.install_traced_noop function. This function replaces the traced decorator with a no-op that returns traced classes and functions unmodified (effectively disabling all tracing capabilities). This is useful for cases where any overhead from tracing is not desired (for example, when running in production environments, or when running performance tests).

Download and Install

The easiest way to install Autologging is to use pip:

$ pip install Autologging

To install from source, clone or fork the repository:

$ git clone

Alternatively, download and extract a source .zip or .tar.gz archive from or

Run the test suite and install the autologging module (make sure you have setuptools installed!):

$ cd Autologging
$ python test
$ python install

You can also install from one of the available binary packages available at or

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