I am delighted to announce the 3.5 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.
https://github.com/P403n1x87/austin
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
Code:
https://marketplace.visualstudio.com/items?itemName=p403n1x87.austin-vscode
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:
https://p403n1x87.github.io/how-to-bust-python-performance-issues.html
Like the most recent releases, this new one also come with some performance
improvements, this time in the shape of higher sampling rates in multiprocess
mode. The interpreter detection has also been improved across all supported
platforms, and the alternative format has been dropped.
But the main new feature is the support for the new column-level location
information that is built into Python 3.11 code objects. This additional
information allows extracting finer-grained profiling data, down to the
expression level. The VS Code extension has been improved to support this extra
location data, which will be visualised in the form of source heat maps.
More details about what's new and bug-fixes can be found in the change-log
https://github.com/P403n1x87/austin/blob/master/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
https://github.com/P403n1x87/austin
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:
Linux:
- Snap Store
- AUR
- Conda Forge
macOS:
- Homebrew
- Conda Forge
Windows:
- Chocolatey
- Scoop
An Austin docker image, based on the latest Ubuntu image, is also available
from Docker Hub:
https://hub.docker.com/r/p403n1x87/austin
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
https://github.com/P403n1x87/austin;>Austin 3.5 - frame stack
sampler for CPython. (26-Feb-23)
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