hyperspy

Multidimensional data analysis toolbox

License: GNU General Public License v3 (GPLv3) (GPL v3)

Author: The HyperSpy developers

Tags EDX, EELS, EFTEM, EMSA, FEI, ICA, PCA, PES, STEM, TEM, curve fitting, data analysis, dm3, electron energy loss spectroscopy, electron microscopy, emi, energy dispersive x-rays, hyperspectral, hyperspectrum, multidimensional, hyperspy, machine learning, microscopy, model, msa, numpy, python, quantification, scipy, ser, spectroscopy, spectrum image

Requires: Python ~=3.6

Project description

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays of a given signal (for example, a 2D array of spectra, also known as a spectrum image).

HyperSpy makes it straightforward 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.

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

HyperSpy is released under the GPL v3 license.

Since version 0.8.4, HyperSpy only supports Python 3. If you need to install HyperSpy in Python 2.7, please install version 0.8.3.

Contributing

Everyone is welcome to contribute. Please read our contributing guidelines and get started!

Project details

License: GNU General Public License v3 (GPLv3) (GPL v3)

Author: The HyperSpy developers

Requires: Python ~=3.6

Release history Release notifications | RSS feed

1.7.4

Mar 17, 2023

1.7.3

Oct 29, 2022

1.7.2

Sep 18, 2022

1.7.1

Jun 18, 2022

1.7.0

Apr 26, 2022

1.6.5

Oct 28, 2021

This version

1.6.4

Jul 8, 2021

1.6.3

Jun 10, 2021

1.6.2

Apr 13, 2021

1.6.1

Nov 28, 2020

1.6.0

Aug 5, 2020

1.5.2

Sep 6, 2019

1.5.1

Jul 28, 2019

1.5

Jul 27, 2019

1.4.2

Jun 19, 2019

1.4.1

Oct 23, 2018

1.4

Sep 3, 2018

1.3.2

Jul 3, 2018

1.3.1

Apr 19, 2018

1.3

May 27, 2017

1.2

Mar 2, 2017

1.1.2

Jan 12, 2017

1.1.1

Aug 24, 2016

1.1

Aug 3, 2016

1.0.1

Jul 27, 2016

1.0

Jul 14, 2016

0.8.5

Jun 2, 2016

0.8.4

Mar 4, 2016

0.8.3

Mar 4, 2016

0.8.2

Aug 13, 2015

0.8.1

Aug 12, 2015

0.8

Apr 7, 2015

0.7.3

Aug 22, 2014

0.7.2

Aug 22, 2014

0.7.1

Jun 17, 2014

0.7

Apr 3, 2014

0.6

May 25, 2013

0.5.1

Sep 28, 2012

0.5

Sep 7, 2012

0.4.1

Apr 16, 2012

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