How to Install and Uninstall austin Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 23,2024

1. Install "austin" package

Please follow the guidance below to install austin on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                austin
            
                    
    
    Copied

2. Uninstall "austin" package

Please follow the guidelines below to uninstall austin on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                austin
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the austin package on Ubuntu 21.10 (Impish Indri)

Package: austin
Architecture: amd64
Version: 1.0.1-2
Priority: optional
Section: universe/devel
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Gabriele N. Tornetta
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 58
Depends: libc6 (>= 2.17)
Filename: pool/universe/a/austin/austin_1.0.1-2_amd64.deb
Size: 17312
MD5sum: bccbab3d69aef4d616a0b1085c218c14
SHA1: 1a3d64b434f8aca61b581eee8f19f023cfe95a59
SHA256: 16761c3d8b835e07e1e3b1bac17ad32dd0c4a80b62a80b2c7bd9fe48f863c4c0
SHA512: bc7e67e403e911b9335796269d50a0956b618c7a577a0d2719b2c8faa70ddddc17836fb551d7569242ae8e1f22b192040c3a4a0bbe7c2fd287a19035674cc2f0
Homepage: https://github.com/P403n1x87/austin
Description-en: Frame stack sampler for CPython
Austin is a Python frame stack sampler for CPython written in pure C. It
samples the stack traces of a Python application so that they can be visualised
and analysed. As such, it serves the basis for building powerful profilers for
Python.
.
The most interesting use of Austin is probably in conjunction with FlameGraph
to profile Python applications while they are running, without the need of
instrumentation. This means that Austin can be used on production code with
little or even no impact on performance.
Description-md5: 620d7f4a5e6cd66265e4f28583d49cb8