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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Project description

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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These details have not been verified by PyPI
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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2.2.0

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

0.8.4

0.8.3

0.8.2

0.8.1

0.8

0.7.3

0.7.2

0.7.1

0.7

0.6

0.5.1

This version

0.5

0.4.1

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