How to Install and Uninstall snmpsim Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "snmpsim" package

This guide let you learn how to install snmpsim on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install snmpsim

2. Uninstall "snmpsim" package

Please follow the step by step instructions below to uninstall snmpsim on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove snmpsim $ sudo apt autoclean && sudo apt autoremove

3. Information about the snmpsim package on Ubuntu 20.10 (Groovy Gorilla)

Package: snmpsim
Architecture: all
Version: 0.4.5-1
Priority: optional
Section: universe/net
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Vincent Bernat
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 682
Depends: python3-pysnmp4 (>= 4.2.4), python3:any, python3-pyasn1
Filename: pool/universe/s/snmpsim/snmpsim_0.4.5-1_all.deb
Size: 277348
MD5sum: 93d6414da6cbd14da34064125ad4d140
SHA1: 14bd31993904de29fe1f6837ceece512a1db3d82
SHA256: 732924856e0f2cb2a262e312e6df55a2c1e629dd370f390f38d96dbdb1b2574a
SHA512: 1b62a2d829a36cf9361103c78908bfb891cd45f2b6c894033c6faf43f430e54f162471e3b5e6d4c8408686cb320aea2383032a5547f583d275625bec09ad4528
Homepage: http://snmpsim.sourceforge.net/
Description-en: SNMP agent simulator
SNMP Simulator is a software that would act like a multitude of real
physical devices from SNMP Manager's point of view. Simulator builds
and uses a database of physical devices' SNMP footprints to respond
like their real counterparts do.
.
Typical use case for this software starts with recording a snapshot
of SNMP objects of donor agents into text files. Once you have your
snapshots at hand, a simulator script could be run over the snapshots
responding to SNMP queries in the same way as donor SNMP agents did
at the time of recording.
.
Technically, SNMP Simulator is a multi-context SNMP agent. That means
that it handles multiple sets of managed object all at once. Each
device is simulated within a dedicated SNMP context.
Description-md5: a5bd2dd74324c89c4954bee65c647c90