I am delighted to announce the release 1.0.1 of Austin. If you haven't
heard of Austin before, it is a 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 straightaway, 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
for a quick and detailed representation of the collected samples. The
latest release introduces a memory profiling mode which allows you to
profile memory usage.

Austin is a pure C application that has no other 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 v1.0.1 is also the first version of Austin to be available from 
for easy installation on MacOS. These are the other places where Austin 
can be

- Snap Store
- Debian repositories

- Chocolatey

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

All the best,


- Fixed Python 3.8 support on MacOS.
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