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Synopsis

Austin is a Python frame stack sampler for CPython written in pure C. Samples are collected by reading the CPython interpreter virtual memory space to retrieve information about the currently running threads along with the stack of the frames that are being executed. Hence, one can use Austin to easily make powerful statistical profilers that have minimal impact on the target application and that don't require any instrumentation.

The key features of Austin are:

• Zero instrumentation;
• Minimal impact;
• Fast and lightweight;
• Time and memory profiling;
• Built-in support for multi-process applications (e.g. mod_wsgi).
• Support for agentic workflows, with an MCP server and a query API for coding agents.

The simplest way to turn Austin into a full-fledged profiler is to use together with the VS Code extension or combine it with FlameGraph or Speedscope. However, Austin's binary output can be piped into any other external or custom tools for further processing. Look, for instance, at the following Python TUI

Check out A Survey of Open-Source Python Profilers by Peter Norton for a general overview of Austin.

Check out the documentation for more tool ideas and examples!

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Documentation

The full documentation, with one version for each Austin minor release, is available at https://p403n1x87.github.io/austin/. It covers

• the complete installation instructions for every platform;
• the command line options and environment variables;
• the features of Austin, like memory profiling, native frame stacks and asyncio support;
• platform-specific details, e.g. permissions on Linux and macOS;
• the ecosystem of tools built around Austin;
• the specification of the MOJO binary format.

Installation

Austin is available from PyPI and from the major software repositories of the most popular platforms

Platform	Command
Any (PyPI)	pip install austin-dist
Linux (Snap)	sudo snap install austin --classic
Debian/Ubuntu	sudo apt install austin
macOS	brew install austin
Windows	choco install austin or scoop install austin
Linux/macOS (Conda)	conda install -c conda-forge austin

Pre-compiled binaries and installers are available from the latest release page. See the installation page for how to build Austin from sources.

Usage

To profile a Python script, run

austin -o profile.mojo python myscript.py

To profile a running Python application, attach Austin to it with

austin -o profile.mojo -p <pid>

Austin writes its samples in the binary MOJO format. The recommended way to visualise them is with the Austin VS Code extension, which opens .mojo files directly. The austin-python package provides tools to convert them to other formats, like the collapsed stacks used by FlameGraph, or Speedscope.

Coding agents can analyse Austin profiles too, either through the MCP server that comes with the VS Code extension, or with the austin-query tool from the austin-python package. See agentic workflows for how to set them up.

The usage page describes all the command line options, and the features page covers each of them in detail.

Compatibility

Austin runs on Linux, macOS and Windows. The compatibility page lists the supported Python versions and architectures for each release, and the platform-specific details to be aware of.

Why Austin

Austin is written in pure C, has no dependencies beyond the standard C library, and is just a sampler, so it can sample at very high rates with minimal impact on the target application. Read more about why Austin in the documentation.

Examples

See the examples in the documentation, and the ecosystem page for the tools that build on Austin.

Contribute

If you like Austin and you find it useful, there are ways for you to contribute.

If you want to help with the development, then have a look at the open issues and have a look at the contributing guidelines before you open a pull request.

You can also contribute to the development of the Austin by becoming a sponsor and/or by buying me a coffee on BMC or by chipping in a few pennies on PayPal.Me.

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