Readme
NOTE: This is Alpha quality software that is being actively developed, use at your own risk. This software is not produced by NASA.
NOTE: This is alpha quality software. It lacks many features and lacks support for many PDS image types. This software is not produced by NASA.
On OS X you must first install the Qt UI toolkit using Homebrew (http://brew.sh/). After installing Homebrew, issue the following command::
brew install qt
Install Using Pip +++++++++++++++++ Install pdsspect using pip::
pip install pdsspect
Then install your choice of pyside, pyqt4, or pyqt5
Install for Development +++++++++++++++++++++++
Create a new virtual environment, install the pdsspect module with git,
and setup the PySide environment. You must install either PySide, PyQt5, or
PyQt4 as well (recommend PyQt5)::
Make a clone of ``pdsspect`` and change to main directory. We recommend
making a virtual environment for to install ``pdsspect`` in.
pip install -e .
pip install PyQt5
Now you should be able to run the pdsspect program.
This works on Linux as well (Ubuntu 14.04).
FAQs
PDS Image Viewer for Multispectral Analysis
We found that pdsspect demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
CISA launched a new project called Vulnrichment to enrich CVEs with details that help prioritize patching and mitigation efforts, as the NVD backlog of unenriched CVEs awaiting analysis surpasses 10,000.
Security News
Socket is joining forces with CISA and other industry leaders at the RSA Conference to sign the Secure by Design pledge, committing to uphold the highest security standards in our products.
Research
The Socket research team breaks down a sampling of malicious packages that download and execute files, among other suspicious behaviors, targeting the popular Discord platform.