How to Install and Uninstall python3-pysyncobj Package on Kali Linux

Last updated: May 06,2024

1. Install "python3-pysyncobj" package

Please follow the instructions below to install python3-pysyncobj on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-pysyncobj
            
                    
    
    Copied

2. Uninstall "python3-pysyncobj" package

Please follow the guidance below to uninstall python3-pysyncobj on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-pysyncobj
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-pysyncobj package on Kali Linux

Package: python3-pysyncobj
Source: pysyncobj
Version: 0.3.12-1
Installed-Size: 202
Maintainer: Michael Banck
Architecture: all
Depends: python3:any (>= 3.6~), python3-cryptography
Size: 38320
SHA256: 269e0cf965bde330fa80ddb6db2a70255b3730187875e7e919546ba907411d19
SHA1: ac12931496350d02e1a5cebff40cfeebb536dcf3
MD5sum: e0883f43d6763850ec7f91da6de9dac4
Description: RAFT-based python class replication between multiple servers
PySyncObj is a python library for building fault-tolerant distributed systems.
It provides the ability to replicate your application data between multiple
servers. It has following features:
.
* raft protocol for leader election and log replication
* Log compaction - it use fork for copy-on-write while serializing data on
disk
* Dynamic membership changes - you can do it with syncobj_admin utility or
directly from your code
* Zero downtime deploy - no need to stop cluster to update nodes
* In-memory and on-disk serialization - you can use in-memory mode for small
data and on-disk for big one
* Encryption - you can set password and use it in external network
* Configurable event loop - it can works in separate thread with it's own
event loop - or you can call onTick function inside your own one
* Convenient interface - one can easily transform arbitrary class into a
replicated one
Description-md5:
Homepage: https://github.com/bakwc/PySyncObj
Section: python
Priority: optional
Filename: pool/main/p/pysyncobj/python3-pysyncobj_0.3.12-1_all.deb