Structured Logging for Python¶
Release v21.4.0 (What's new?).
structlog
makes logging in Python faster, less painful, and more powerful by adding structure to your log entries.
It has been successfully used in production at every scale since 2013, while embracing cutting-edge technologies like asyncio or type hints along the way, and influenced the design of structured logging packages in other ecosystems.
Thanks to its highly flexible design, it’s up to you whether you want structlog
to take care about the output of your log entries or whether you prefer to forward them to an existing logging system like the standard library’s logging
module.
First steps:
If you’re not sure whether
structlog
is for you, have a look at Why….If you can’t wait to log your first entry, start at Getting Started and then work yourself through the basic docs.
Once you have basic grasp of how
structlog
works, acquaint yourself with the integrationsstructlog
is shipping with.
User’s Guide¶
Basics¶
Integration with Existing Systems¶
structlog
can be used immediately with any existing logger.
However it comes with special wrappers for the Python standard library and Twisted that are optimized for their respective underlying loggers and contain less magic.
Advanced Topics¶
API Reference¶
Getting Help¶
Please use the structlog
tag on StackOverflow to get help.
Answering questions of your fellow developers is also a great way to help the project!
Project Information¶
structlog
is dual-licensed under Apache License, version 2 and MIT, available from PyPI, the source code can be found on GitHub, the documentation at https://www.structlog.org/.
We collect useful third-party extension in our wiki.
structlog
targets Python 3.6 and later.
PyPy3 is known to work, but is not tested anymore.
structlog
for Enterprise¶
Available as part of the Tidelift Subscription.
The maintainers of structlog and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use. Learn more.