How to Install and Uninstall lynkeos.app Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "lynkeos.app" package

In this section, we are going to explain the necessary steps to install lynkeos.app on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install lynkeos.app

2. Uninstall "lynkeos.app" package

This guide covers the steps necessary to uninstall lynkeos.app on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove lynkeos.app $ sudo apt autoclean && sudo apt autoremove

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

Package: lynkeos.app
Architecture: amd64
Version: 3.4+dfsg1-2
Priority: optional
Section: universe/x11
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GNUstep maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2065
Depends: lynkeos.app-common (= 3.4+dfsg1-2), dcraw, gnustep-back0.28 (>= 0.28.0), gnustep-base-runtime (>= 1.27.0), gnustep-gui-runtime (>= 0.28.0), libavcodec58 (>= 7:4.2), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.29), libcfitsio9 (>= 3.480~), libfftw3-single3 (>= 3.3.5), libgcc-s1 (>= 3.0), libgnustep-base1.27 (>= 1.27.0), libgnustep-gui0.28 (>= 0.28.0), liblapack3 | liblapack.so.3, libobjc4 (>= 4.6), libswscale5 (>= 7:4.0), libtiff5 (>= 4.0.3)
Breaks: lynkeos.app-common (<< 3.3+dfsg1)
Replaces: lynkeos.app-common (<< 3.3+dfsg1)
Filename: pool/universe/l/lynkeos.app/lynkeos.app_3.4+dfsg1-2_amd64.deb
Size: 381276
MD5sum: 435ec02d11afda7cb520e9ba4fcae137
SHA1: 3a12f8ccb27e08adc7cb57befb025c78fd5f7158
SHA256: 87b822d7fd63b499ff2544bc58457e3913ed2997d2775de574f7b9e1b90dd8e6
SHA512: 79005e8c54934530f8913ce6b09cf92876ac04f96a0c0ffead23d04a0014f5e06db0e81818b18ce6aa156511b6e43d57da37c6d9f2b6d5e1cc6a9c3a5d89d742
Homepage: http://lynkeos.sourceforge.net/
Description-en: GNUstep app for processing planetary astronomical images
Lynkeos is an application dedicated to the processing of astronomical
(mainly planetary) images taken with a webcam through a telescope.
By stacking the best images, the signal to noise ratio is increased
and details lost in the noise of individual images become visible in
the resulting image.
Description-md5: bca8bc54d12fdc5a672bce40add1b1d3