Skip to content

A user interface for the hyperspy package.

License

Notifications You must be signed in to change notification settings

erh3cq/hyperspyUI

 
 

Repository files navigation

HyperSpyUI

pypi_version AppVeyor

HyperSpyUI tries to bring a streamlined user interface to the powerful multi-dimensional analysis capabilities of HyperSpy. HyperSpy is an open source Python library which provides tools to facilitate data analysis of multidimensional datasets.

HyperSpy aims at making it easy and natural to apply analytical procedures that operate on an individual signal to multidimensional arrays, as well as providing easy access to analytical tools that exploit the multidimensionality of the dataset.

While the UI tries to create a simple and intuitive interface to HyperSpy, it still retains the raw power of HyperSpy via the UI’s built in IPython console, which runs on the same Python kernel as the UI.

Installation

There are several ways to install HyperSpyUI. The application itself is rather simple to install, but its dependencies can be a bit more tricky. From version 1.1, HyperSpyUI supports both PyQt4 and PyQt5.

Bundle Installer on Windows

If you're on Windows, the quickest way to get set up is to download and install the HyperSpy bundle installer, which includes HyperSpyUI.

Anaconda/Miniconda on Mac or Linux

Download and install the Miniconda distribution and run the following command in the anaconda prompt:

conda install -c conda-forge hyperspy
pip install hyperspyui

Installation via pip

HyperSpyUI can be intall from pip. Depending on your python distribution you may need to have C compiler on your system to install some of the dependencies.

pip install hyperspyui

If pyqt is not installed, run:

pip install PyQt5 PyQtWebEngine

Run HyperSpyUI

After installation, you can run HyperSpyUI from the command prompt with:

python -m hyperspyui

For further information, see the full documentation.

About

A user interface for the hyperspy package.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 97.0%
  • NSIS 2.6%
  • Other 0.4%