Multidimensional data analysis toolbox

Navigation

Verified details

These details have been verified by PyPI
Maintainers
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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: The HyperSpy developers
  • Maintainer: 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, multidimensional, hyperspy, machine learning, microscopy, model, msa, numpy, python, quantification, scipy, ser, spectroscopy, spectrum image
Classifiers

Project description

Travis AppVeyor Coveralls pypi_version rtd gitter saythanks

HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multidimensional datasets that can be described as multidimensional arrays of a given signal (e.g. a 2D array of spectra a.k.a spectrum image).

HyperSpy aims at making it easy and natural 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 different kinds of signals.

HyperSpy is released under the GPL v3 license.

Cite

DOI

Project details

Verified details

These details have been verified by PyPI
Maintainers
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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: The HyperSpy developers
  • Maintainer: 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, multidimensional, hyperspy, machine learning, microscopy, model, msa, numpy, python, quantification, scipy, ser, spectroscopy, spectrum image
Classifiers

Release history Release notifications | RSS feed

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

This version

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

0.5

0.4.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyperspy-1.3.1-1.tar.gz (54.8 MB view hashes)

Uploaded Source

Built Distributions

hyperspy-1.3.1-cp36-cp36m-win_amd64.whl (55.3 MB view hashes)

Uploaded CPython 3.6m Windows x86-64

hyperspy-1.3.1-cp36-cp36m-win32.whl (55.3 MB view hashes)

Uploaded CPython 3.6m Windows x86

hyperspy-1.3.1-cp36-cp36m-macosx_10_7_x86_64.whl (55.3 MB view hashes)

Uploaded CPython 3.6m macOS 10.7+ x86-64

hyperspy-1.3.1-cp35-cp35m-win_amd64.whl (55.3 MB view hashes)

Uploaded CPython 3.5m Windows x86-64

hyperspy-1.3.1-cp35-cp35m-win32.whl (55.3 MB view hashes)

Uploaded CPython 3.5m Windows x86

hyperspy-1.3.1-cp35-cp35m-macosx_10_6_x86_64.whl (55.3 MB view hashes)

Uploaded CPython 3.5m macOS 10.6+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page