HyperSpy: multi-dimensional data analysis toolbox

HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets that can be described as multi-dimensional arrays of a given signal (e.g. a 2D array of spectra a.k.a spectrum image).

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

Its modular structure makes it easy to add features to analyze different kinds of signals.

Highlights

  • Two families of named and scaled axes: signal and navigation.
  • Visualization tools for multi-dimensional spectra and images.
  • Easy access multi-dimensional curve fitting and blind source separation.
  • Built on top of NumPy, SciPy, matplotlib and scikit-learn.
  • Modular design for easy extensibility.

The development has been motivated by the data analysis needs of the electron microscopy community but it is proving useful in many other fields.

News

HyperSpy 0.8.2 has been released!

Published on 2015-08-13

We are proud to announce a new maitenance release of HyperSpy.

Read more…

HyperSpy 0.8.1 has been released!

Published on 2015-08-12

This is a maintenance release that fixes an issue with the Python installers. Those who have successfully installed v0.8.1 do not need to upgrade.

Citing HyperSpy

Published on 2015-04-15

HyperSpy can now be cited using our brand new D.O.I. See how to cite HyperSpy or click on the DOI badge below for details.