How to Install and Uninstall teem-apps Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: April 19,2024

1. Install "teem-apps" package

Here is a brief guide to show you how to install teem-apps on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install teem-apps

2. Uninstall "teem-apps" package

In this section, we are going to explain the necessary steps to uninstall teem-apps on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove teem-apps $ sudo apt autoclean && sudo apt autoremove

3. Information about the teem-apps package on Ubuntu 20.10 (Groovy Gorilla)

Package: teem-apps
Architecture: amd64
Version: 1.12.0~20160122-3
Priority: optional
Section: universe/libdevel
Source: teem
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 282
Depends: libteem2 (= 1.12.0~20160122-3), libc6 (>= 2.4)
Filename: pool/universe/t/teem/teem-apps_1.12.0~20160122-3_amd64.deb
Size: 70972
MD5sum: 6334492584240f94d7245ec2f4936b88
SHA1: 5f59ab575b59d0804e5d10bb7bde81575658f2dd
SHA256: 076c2a01a016902f6e7a038ceb196da3027e46913ec3c705fd58c482b8e42398
SHA512: 85df4f351c668b087e68daf37faf9ac10c9b95df90a7d28520c93727dbfb85bbbd17a47c74c370ed7c811804677b9991005111f97546a12b37e5761414dd73fa
Homepage: http://teem.sourceforge.net/
Description-en: Tools to process and visualize scientific data and images - command line tools
Teem is a coordinated group of libraries for representing, processing, and
visualizing scientific raster data. Teem includes command-line tools that
permit the library functions to be quickly applied to files and streams,
without having to write any code. The most important and useful libraries in
Teem are:
.
* Nrrd (and the unu command-line tool on top of it) supports a range of
operations for transforming N-dimensional raster data (resample, crop,
slice, project, histogram, etc.), as well as the NRRD file format for
storing arrays and their meta-information.
* Gage: fast convolution-based measurements at arbitrary point locations in
volume datasets (scalar, vector, tensor, etc.)
* Mite: a multi-threaded ray-casting volume render with transfer functions
based on any quantity Gage can measure
* Ten: for estimating, processing, and visualizing diffusion tensor fields,
including fiber tractography methods.
.
This package contains some simple command-line tools which provide fast and
easy access to the functionality in the various libraries.
Description-md5: ae4c38f44a6f42ef2d3649feb654b0c9