Software applications/packages

This page contains information about software applications and software packages on the platform. This includes what software is and isn’t available, how to install your own software, etc.

Supported software packages

Why xxx is not available?

We are trying to make widely-used software packages and libraries available with a special focus on geo-information and earth observation. In fact, we did a survey to understand your needs and determined the list accordingly. We will periodically review this list and add more packages.

If the software package you need is not available on the platform (yet), the reasons could be:

  • We may not be aware of it. Just contact us and tell us what you need. Most probably we can make it available quickly, especially if it is an open source software.

  • It might be a package we are currently working on. Some packages have a long list of dependencies and they are difficult to setup, especially on a platform composed of special units (i.e. Jetson AGX Xavier) which are quite different from standard equipment (e.g. servers). Probably we solve all the issues and make it available soon.

  • It might be a package that is not supported by the platform architecture (Linux / ARM v8.2a). But there might be some alternatives available and we can help you to find them if you contact us.

  • It might be proprietary requiring a license. Currently we don’t support such software packages, but this may change in the future. Please let us know if you need such software products.

Why the latest version of xxx is not available?

We do our best to make the latest versions of software packages and libraries available. However, occasionally certain versions of the packages are not compatible to each other or not fully supported by the platform architecture (Linux / ARM v8.2a) - so we have to choose. If you are not happy with the selection please let us know.

Install R, Python, Julia, etc. packages

For Python, open a terminal and enter the command:

pip install or pip install ==

For R, enter the command in an interactive R notebook:

install.packages('', repos='')

For other languages, please refer to the user documentation or contact us.

Packages are installed to your home directory (i.e. /home/jovyan). Therefore, they are permanent. But they are not updated automatically and you should keep them up to date.

Conda is not supported, but you can use virtual environments, if necessary.

Note

You may encounter installation errors if the package requires additional system libraries or it is not compatible with the architecture of the computing unit. Please contact us if you encounter any difficulties. We can install it for you, which will make it also available to other users.

Warning

Local package dependencies are not guaranteed after platform updates.

Warning

Local packages might be architecture dependent.

Install additional software applications

System-wide software packages are protected and you cannot install software that needs to be installed to the system directories (e.g. /usr or /usr/local). But you can install software packages and portable applications to your workspace (i.e. home, private, or shared folders). Please contact us if you encounter any difficulties.

Note

You cannot install software by using the default package manager of Ubuntu (apt)

Note

Custom software are not updated automatically. You should keep them up to date.

Warning

Custom software might be architecture dependent (e.g. arm64/aarch64 for NVIDIA Jetson AGX, amd64/x86_64 for PowerEdge). If you install a software for one architecture, it may not work with the other one.

Install Windows applications

Windows applications are supported through emulation by Wine. They are not supported on NVIDIA Jetson AGX units, so you need to use a computing unit with Intel architecture (e.g. PowerEdge units). Because they run through emulation, Windows applications are not guaranteed to work 100%.

For Win32 applications, open a terminal and enter the command:

WINEPREFIX="$HOME/.wine32" wine

For Win64 applications, open a terminal and enter the command:

WINEPREFIX="$HOME/.wine64" wine

C Drive is located at $HOME/.wine/drive_c

Please contact us if you encounter any difficulties.

Use MATLAB

MATLAB (R2021a), Simulink, and selected toolboxes are available on the platform to the UT employees and students through the campus-wide license. Please follow the following steps to use MATLAB and related products:

  1. Log in to the platform.

  2. Select a computing unit with Intel architecture (e.g. PowerEdge, Optiflex). MATLAB is currently not supported on Jetson units.

  3. Open remote desktop connection selecting Remote Desktop (NoVNC) icon from the launcher menu.

  4. On the remote desktop, select Applications > Research > MATLAB from to top menu

  5. Enter your e-mail address linked to your MathWorks account and click Next. Normally this should be your UT e-mail address, but it should be activated first. You can find more information at the UT Service Portal.

  6. Enter your MathWorks account password and click Sign In.

Expand to see the add-ons that are available with MATLAB

Add-on

Version

Computer Vision Toolbox

10.0

Curve Fitting Toolbox

3.5.13

Database Toolbox

10.1

Datafeed Toolbox

6.0

Deep Learning Toolbox

14.2

Financial Toolbox

6.1

Global Optimization Toolbox

4.5

Image Processing Toolbox

11.3

Lidar Toolbox

1.1

Mapping Toolbox

5.1

Optimization Toolbox

9.1

Parallel Computing Toolbox

7.4

Partial Differential Equation Toolbox

3.6

Reinforcement Learning Toolbox

2.0

Risk Management Toolbox

1.9

Signal Processing Toolbox

8.6

Simulink

10.3

Statistics and Machine Learning Toolbox

12.1

Symbolic Math Toolbox

8.7

Text Analytics Toolbox

1.7

UAV Toolbox

1.1

Wavelet Toolbox

5.6

Use Dask

Use HDFS service

Install JupyterLab on Windows

This guide shows step-by-step instructions on how to install JupyterLab on your own Windows computer.

Supported programming languages

This is a list of all the programming languages supported on the platform through either command line or as interactive notebooks.

Language

Version

Python

3.8.5

R

4.1.0

Go

1.16.3

Julia

1.5.4

Java

11.0.11

Scala

2.12.12

PHP

7.4.3

Ruby

2.7.0

Octave

6.2.0

dot

2.43.0

gnuplot

5.2

*C

GNU 9.3

*C++

GNU 9.3

*Fortran

GNU 9.3

*Perl

5.30

*CUDA

10.2

*: Only available through the command line.