Austin – Python Frame Stack Sampler (or zero-instrumentation profiling) 2.1.1

I am delighted to announce the release 2.1.1 of Austin, an open-source frame stack sampler for CPython. It can be used to obtain statistical profiling data out of a running Python application without a single line of instrumentation. This means that you can start profiling a Python application straight away, even while it's running on a production environment, with minimal impact on performance.

The simplest way of using Austin is by piping its output to FlameGraph or uploading it to speedscope.app for a quick and neat visualisation of the collected samples.

Austin can be installed easily on the following platforms and from the following sources:

Linux: - Snap Store - Debian repositories - Conda Forge

macOS: - Homebrew - Conda Forge

Windows: - Chocolatey - Scoop

Austin is also simple to compile from sources as it only depends on the standard C library, if you don't have access to the above-listed repositories.

This new release of Austin brings enhanced support for many Python binary distributions across all the supported platforms, as well as a bugfix for the line number reporting. If you rely on Austin 2, upgrading to the latest version is strongly recommended.

Let me also remind you of some of the other existing Python tools powered by Austin, which have also seen new releases in the past few days, and that are easily available from PyPI:

https://github.com/P403n1x87/austin-tui https://github.com/P403n1x87/austin-web https://github.com/P403n1x87/pytest-austin

These tools are built using the austin-python library, which is also available from PyPI, with source code hosted at

https://github.com/P403n1x87/austin-python

For anyone wishing to build their own Austin-powered tools, the austin-python documentation is hosted on RTD at

https://austin-python.readthedocs.io/en/latest/

Follow Austin on Twitter (https://twitter.com/AustinSampler).