Hyperspectral data analysis toolbox

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  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: Francisco de la Peña
  • 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, hyperspy, machine learning, microscopy, model, msa, numpy, python, quantification, scipy, ser, spectroscopy, spectrum image
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Hyperspy provides a rich toolbox for hyperspectral data analysis:

  • Reads and writes multiple file formats common in electron microscopy and the open standard HDF5.

  • Performs curve fitting on multidimensional datasets.

  • Machine learning e.g. PCA, ICA…

  • Easy to use and customise.

  • Specially well suited for electron energy loss spectroscopy (EELS) data analysis.

Hyperspy is open source (released under the revised GPL v3 license).

Currently it requires Python 2.7. Python 3 is not yet supported.

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Avatar for ericpre from gravatar.com ericpre Avatar for francisco_dlpm from gravatar.com francisco_dlpm Avatar for t.ostasevicius from gravatar.com t.ostasevicius

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Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: Francisco de la Peña
  • 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, hyperspy, machine learning, microscopy, model, msa, numpy, python, quantification, scipy, ser, spectroscopy, spectrum image
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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

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

1.5.1

1.5

1.4.2

1.4.1

1.4

1.3.2

1.3.1

1.3

1.2

1.1.2

1.1.1

1.1

1.0.1

1.0

0.8.5

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0.7.3

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0.6

This version

0.5.1

0.5

0.4.1

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