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

An Austin web interface for remote profiling
https://github.com/P403n1x87/austin-web

hacktoberfest profiling python webapp

Last synced: 29 days ago
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An Austin web interface for remote profiling

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README 

        


  


  Austin Web

  





A Modern Web Interface for Austin





  

      

  

      

  






  

    GitHub Actions: Tests

  

  

    Travis CI

  

  

    Codecov

  

  

    PyPI

  

  

    LICENSE

  






  Synopsis •

  Installation •

  Usage •

  Compatibility •

  Contribute






  

  Buy Me A Coffee

  




# Synopsis



Austin Web is a modern web interface for [Austin], the frame stack sampler for

CPython, based on [D3.js] and [tailwindcss]. It is yet another example of how to

use Austin to make a visual profiling tool for Python. The flame graph is

generated using [d3-flame-graph].





  




Austin Web offers two main functionalities. The default one is to serve a web

page that allows you to have a live view of the metrics collected by Austin. The

visualisation is a _live_ flame graph in your browser that refreshes every 3

seconds with newly collected data. Hence, Austin Web can also be used for

_remote_ profiling.



You can also run Austin Web in _compile_ mode to generate a static flame graph

HTML page, much like [flamegraph.pl], but with the full Austin Web UI around it.



# Installation



Austin Web can be installed from PyPI simply with



~~~ bash

pipx install austin-web

~~~



> **NOTE** Austin Web relies on the

> [Austin] binary being available from the `PATH` environment variable. So make

> sure that Austin is properly installed on your system. See [Austin

> installation](https://github.com/P403n1x87/austin#installation) instruction

> for more details on how to get Austin installed on your platform.



# Usage



You can run Austin Web simply with



~~~ bash

austin-web python myscript.py

~~~



to start serving on localhost over an ephemeral port. If `myscript.py` is an

executable script, you can simply do



~~~ bash

austin-web myscript.py

~~~



If you want to specify the host and the port, you can pass the `--host` and

`--port` options to the command line. For example, to serve for the World on

port 5050, use



~~~ bash

austin-web --host 0.0.0.0 --port 5050 python myscript.py

~~~



If you want to compile the collected metrics into a static HTML page, you can

run Austin Web in compile mode by passing the `--compile` option, followed by

the destination file name, e.g.



~~~ bash

austin-web --compile output.html python myscript.py

~~~



Like Austin, you can use Austin Web to profile any running Python application.

For example, to profile a WSGI server and all its child processes, get hold of

its PID and do



~~~ bash

sudo austin-web -Cp 

~~~



# Compatibility



Austin Web has been tested with Python 3.9-3.12 and is known to work on

**Linux**, **MacOS** and **Windows**.



Austin Web is known to have some minor issues on Windows. When started in serve

mode, pressing `Ctrl+C` might not actually stop Austin Web.



Since Austin Web uses Austin to collect samples, the same note applies here:



> Attaching to a running process in Python requires the `cap_systrace`

> capability. To avoid running Austin Web with `sudo`, consider setting it to

> the Austin binary with, e.g.

>

> ~~~ bash

> sudo setcap cap_sys_ptrace+ep `which austin`

> ~~~



> Due to the **System Integrity Protection** introduced in **MacOS** with El

> Capitan, Austin cannot profile Python processes that use an executable located

> in the `/bin` folder, even with `sudo`. Hence, either run the interpreter from

> a virtual environment or use a Python interpreter that is installed in, e.g.,

> `/Applications` or via `brew` with the default prefix (`/usr/local`). Even in

> these cases, though, the use of `sudo` is required.



# 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](CONTRIBUTING.md) before you

open a pull request.



You can also contribute to the development of the Austin Web by becoming a

sponsor and/or by [buying me a coffee](https://www.buymeacoffee.com/Q9C1Hnm28)

on BMC or by chipping in a few pennies on

[PayPal.Me](https://www.paypal.me/gtornetta/1).





  

  Buy Me A Coffee

  




[Austin]: https://github.com/P403n1x87/austin

[D3.js]: https://d3js.org/

[d3-flame-graph]: https://github.com/spiermar/d3-flame-graph

[flamegraph.pl]: https://github.com/brendangregg/FlameGraph

[tailwindcss]: https://tailwindcss.com/