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

Last updated: May 07,2024

1. Install "sipcalc" package

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

$ sudo apt update $ sudo apt install sipcalc

2. Uninstall "sipcalc" package

Here is a brief guide to show you how to uninstall sipcalc on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove sipcalc $ sudo apt autoclean && sudo apt autoremove

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

Package: sipcalc
Architecture: amd64
Version: 1.1.6-1
Priority: optional
Section: universe/net
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Marc Haber
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 73
Depends: libc6 (>= 2.4)
Filename: pool/universe/s/sipcalc/sipcalc_1.1.6-1_amd64.deb
Size: 30152
MD5sum: 12bbf5f47d5829770b9e02197bf96b20
SHA1: c0cef1f588608dfb53a51d4c72928f986120feb1
SHA256: eac4d96d656db7f7c49c268afb6ac75b4d1233ed39bfdbaa9e7021efeeae76a3
SHA512: f68de73baec0b7bd70d6a4b9ffc6157e88d768a570ca74732183bbc42fc2c5afa1f5fc7cf92386aabb7494c3b896a4e124e1734ec7a89adba2bbe5d4fdd2832e
Homepage: http://www.routemeister.net/projects/sipcalc/
Description-en: Advanced console-based ip subnet calculator
Sipcalc is an advanced console-based IP subnet calculator. It can take
multiple forms of input (IPv4/IPv6/interface/hostname) and output a
multitude of information about a given subnet.
.
Features include:
- IPv4
* Retrieving of address information from interfaces.
* Classfull and CIDR output.
* Multiple address and netmask input and output formats (dotted
quad, hex, number of bits).
* Output of broadcast address, network class, Cisco wildcard, hosts/range,
network range.
* The ability to "split" a network based on a smaller netmask, now also with
recursive runs on the generated subnets. (also IPv6)
- IPv6
* Compressed and expanded input and output addresses.
* Standard IPv6 network output.
* v4 in v6 output.
* Reverse DNS address generation.
Description-md5: 2adbd2aeec4c4a0d3ef6beb737ad3425