Multidimensional data analysis toolbox

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  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)
  • Author: The HyperSpy Community
  • Tags cathodoluminescence , CL , EBSD , EDX , EDS , EELS , EFTEM , ICA , PCA , PES , STEM , TEM , curve fitting , data analysis , electron backscatter diffraction , electron energy loss spectroscopy , electron microscopy , energy dispersive x-ray spectroscopy , x-ray energy dispersive spectroscopy , hyperspectral , hyperspectrum , hyperspy , machine learning , microscopy , model , multidimensional , numpy , off-axis electron holography , photoluminescence , PL , python , quantification , scipy , spectroscopy , spectrum image
  • Requires: Python >=3.10
  • Provides-Extra: all , baseline , coverage , dask-image , dev , doc , gui-jupyter , gui-traitsui , image , ipython , learning , odr , speed , tests
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Python Version PyPI Version Anaconda Version License: GPL v3

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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. Visit the HyperSpy Website to learn more about HyperSpy and its extension packages and for instructions on how to install the package and get started in analysing your data.

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!

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  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)
  • Author: The HyperSpy Community
  • Tags cathodoluminescence , CL , EBSD , EDX , EDS , EELS , EFTEM , ICA , PCA , PES , STEM , TEM , curve fitting , data analysis , electron backscatter diffraction , electron energy loss spectroscopy , electron microscopy , energy dispersive x-ray spectroscopy , x-ray energy dispersive spectroscopy , hyperspectral , hyperspectrum , hyperspy , machine learning , microscopy , model , multidimensional , numpy , off-axis electron holography , photoluminescence , PL , python , quantification , scipy , spectroscopy , spectrum image
  • Requires: Python >=3.10
  • Provides-Extra: all , baseline , coverage , dask-image , dev , doc , gui-jupyter , gui-traitsui , image , ipython , learning , odr , speed , tests
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2.4.0

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2.1.1

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1.7.6

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1.6.0

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0.8.5

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0.6

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