Multidimensional data analysis toolbox

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  • 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
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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.

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

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  • 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
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2.3.0

2.2.0

2.1.1

2.1.0

2.0.1

2.0

2.0rc0 pre-release

This version

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.2

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1.5

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1.4

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