I am delighted to announce the 3.4 release of Austin. If you haven't heard of 
Austin before, it is an open-source frame stack sampler for CPython, 
distributed under the GPLv3 license. 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 in a production environment, with 
minimal impact on performance.


The Austin VS Code extension provides a smooth interactive profiling 
experience, with interactive flame graphs straight into the text editor to 
allow you to quickly jump to the source code with a simple click. You can find 
the extension on the Visual Studio Marketplace and install it directly from VS 


To see how to make the best of Austin with VS Code to find and fix performance 
issues, check out this blog post, which shows you the editor extension in 
action on a real Python project:


This latest release builds on top of the significant performance improvements 
introduced in the 3.3 release. Benchmarking figures (see 
https://github.com/P403n1x87/austin/pull/126#issuecomment-1279765640 for some 
of the numbers) show that Austin 3.4 continues to provide a high sample rate at 
low sampling intervals, with improvements of about 4x compared to Austin 3.2.

One major feature of this new release is support for Python 3.11. Profiles of 
applications run with this version of the interpreter will have fully qualified 
scope names, which makes for more granular profiling data.

Besides the new support for Python 3.11, the other major feature of this new 
release is the new MOJO binary output format that builds on top of the 
just-mentioned performance improvements to generate much more compact sample 
output files. The VS Code extension provides support for the new format 
starting from version 0.11.0 and so it has you covered already! More details 
about the MOJO file format can be found on the Wiki:


Other utilities to convert between file formats can be found in the 
austin-python Python package


More details about what's new and bugfixes can be found in the changelog


Austin is a pure C application that has no dependencies other than the C 
standard library. Its source code is hosted on GitHub at


The README contains installation and usage details, as well as some examples of 
Austin in action. Details on how to contribute to Austin's development can be 
found at the bottom of the page.

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

- Snap Store
- Conda Forge

- Homebrew
- Conda Forge

- Chocolatey
- Scoop

An Austin docker image, based on the latest Ubuntu image, is also available 
from Docker Hub:


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 sources.

You can stay up-to-date with the project's development by following Austin on 
Twitter (https://twitter.com/AustinSampler).

Austin is a free and open-source project. A lot of effort goes into its 
development to ensure the best performance and that it stays up-to-date with 
the latest Python releases. If you find it useful, consider sponsoring this 
project on GitHub at https://github.com/sponsors/P403n1x87.

All the best,
Gabriele <phoenix1987 (at) gmail.com>

<p><a href="https://github.com/P403n1x87/austin";>Austin 3.4</a> - frame stack 
sampler for CPython. (02-Nov-22)</p>
Python-announce-list mailing list -- python-announce-list@python.org
To unsubscribe send an email to python-announce-list-le...@python.org
Member address: arch...@mail-archive.com

Reply via email to