Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/nasa-pds/pds-view

PDSView provides support for visualizing PDS3 and PDS4 data products.
https://github.com/nasa-pds/pds-view

nasa pds pds3 pds4 python visualization

Last synced: about 1 month ago
JSON representation

PDSView provides support for visualizing PDS3 and PDS4 data products.

Awesome Lists containing this project

README 

        
=========

 PDSView

=========



PDSView provides support for visualizing PDS3 and PDS4 data products.



Features

========



• Visualization of PDS3 data products

• Visualization of PDS4 data products



Installation

============



Prebuilt packages of PDSView are available; simply download the version

relevant to your platform from the project's GitHub releases_ page (click

"Assets" under your chosen release version). Details for each platform are

given below.



Linux

-----



Download and unpack ``PDSView-linux.zip`` to extract the executable file

``PDSView``; run this file. Note you'll need to be running the X Window

System. Depending on your window manager, you may be able to drag files from

the file explorer on your platform directly into PDSView's main window.

Otherwise, choose "Open" from the tool's "File" menu to open PDS data

products.



macOS

-----



Download and unpack ``PDSView-macOS.zip`` to extract the executable

``PDSView.app`` which you can drag to your ``/Applications`` folder or other

convenient location. Note that because this is an unsigned program, you will

need to control-click (⌃+click) or right-click its icon and choose "Open",

followed by clicking the "Open" button, to start PDSView. The tool is known to

work on the following versions of macOS:



• 10.13.6 "High Sierra"

• 10.14.3–6 "Mojave"



Other releases may or may not work. In addition, drag-and-drop from Finder or

the desktop is not guaranteed to work on macOS at all. In this case, choosing

"Open" from the "File" menu is recommended.



Windows

-------



Two downloads are provided and tested on 64-bit Windows version 10. These

versions are identical except as noted below:



• ``PDSView-Windows-single-exe.zip``. Downloading and unpacking this archive

  yields a single executable file ``PDSView.exe`` that you can double-click to

  launch. Note that it may take a *long* time for the tool to launch and its

  initial window to appear. *Pro*: single, easy to find ``.exe`` file. *Con*:

  Slow time to start the program.

• ``PDSView-dir.zip``. Downloading and unpacking this archive yields a

  directory of many files with a ``PDSView.exe`` file inside. Double-click

  this file to launch; the window will appear much faster. *Pro*: Fast start.

  *Con*: harder to find the ``.exe`` file in a directory littered with

  hundreds of other files.



Which one you use is a matter of preference. Regardless, drag-and-drop from

the Windows desktop or file Explorer works fine. (Other versions of Windows

are untested; we would love to hear back with your success stories.)



Other Platforms

---------------



For platforms not covered above, you can download the source code from the

releases_ page (click "Assets" under the appropriate release version) as

either a ``zip`` or a ``tar.gz`` archive. Your system will require the

following:



• `Python 2.7`_

• Qt4_

• PyQt4_

• `PDS4 Tools`_



See your system documentation or packaging manager to install these

dependencies. (A Python "virtualenv" is recommended to keep from polluting

your system Python with extraneous packages.) Once installed, you can run the

tool from the unpacked archive using the prepared Python.



For example, a Unix-like (including macOS-like) system could do the following::



    # == Install Python 2.7, Qt4, and PyQt4 per platform-specifics ==

    # (commands not shown here)

    # == Create a virtualenv sandbox and install PDS4 tools into it ==

    virtualenv --system-site-packages /tmp/mypython

    cd /tmp/mypthon

    bin/pip install matplotlib seaborn

    # == Download and extract PDSView ==

    curl -L 'https://github.com/NASA-PDSr/pds-view/archive/v0.1-beta.tar.gz' | tar xzf -

    cd pds-view-0.1-beta

    # == Install its dependencies ==

    ../bin/python setup.py develop

    # == Run it ==

    env MPLBACKEND=Qt4Agg ../bin/PDSView



Adjust the above commands as needed for your platform.



Documentation

=============



Additional documentation is available in the ``docs`` directory and at

https://pds-cm.jpl.nasa.gov/pds4/preparation/inspect/ … note this is only

available within the Jet Propulsion Laborary.



Translations

============



This product has not been translated into any other languages than US English.



Contribute

==========



Within the NASA Planetary Data System, we value the health of our community as much as the code. Towards that end, we ask that you read and practice what's described in these documents:



• Our `contributor's guide`_ delineates the kinds of contributions we accept.

• Our `code of conduct`_ outlines the standards of behavior we practice and expect by everyone who participates with our software.



Meanwhile please check out:



• Our `issue tracker`_ 

• And the `source Code`_



Support

=======



If you are having issues, please let us know.  You can reach us at

https://pds.nasa.gov/contact/contact.shtml



License

=======



The project is licensed under the Apache License, version 2.  See the

``LICENSE.md`` file for details.



.. _`contributor's guide`: https://github.com/NASA-PDS/.github/blob/main/CONTRIBUTING.md

.. _`code of conduct`: https://github.com/NASA-PDS/.github/blob/main/CODE_OF_CONDUCT.md

.. _`issue tracker`: https://github.com/NASA-PDS/pds-view/issues

.. _`source code`: https://github.com/NASA-PDS/pds-view/

.. _releases: https://github.com/NASA-PDS/pds-view/releases

.. _`Python 2.7`: https://www.python.org/download/releases/2.7/

.. _qt4: https://www.qt.io/

.. _pyqt4: https://pypi.org/project/PyQt4/

.. _`PDS4 Tools`: https://pds.nasa.gov/tools/about/