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
  • 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
Classifiers
Report project as malware

Project description

Azure Github Drone rtd Codecov

python_version pypi_version anaconda_cloud

gitter DOI

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.

Contributing

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

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
  • 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
Classifiers

Release history Release notifications | RSS feed

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

This version

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

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-1.7.0.tar.gz (31.4 MB view details)

Uploaded Source

Built Distributions

hyperspy-1.7.0-cp310-cp310-win_amd64.whl (32.3 MB view details)

Uploaded CPython 3.10Windows x86-64

hyperspy-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.24+ x86-64

hyperspy-1.7.0-cp310-cp310-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

hyperspy-1.7.0-cp39-cp39-win_amd64.whl (32.3 MB view details)

Uploaded CPython 3.9Windows x86-64

hyperspy-1.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.24+ x86-64

hyperspy-1.7.0-cp39-cp39-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

hyperspy-1.7.0-cp38-cp38-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.8Windows x86-64

hyperspy-1.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64manylinux: glibc 2.24+ x86-64

hyperspy-1.7.0-cp38-cp38-macosx_10_14_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

hyperspy-1.7.0-cp37-cp37m-win_amd64.whl (32.3 MB view details)

Uploaded CPython 3.7mWindows x86-64

hyperspy-1.7.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.24+ x86-64

hyperspy-1.7.0-cp37-cp37m-macosx_10_14_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

File details

Details for the file hyperspy-1.7.0.tar.gz.

File metadata

  • Download URL: hyperspy-1.7.0.tar.gz
  • Upload date:
  • Size: 31.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.12

File hashes

Hashes for hyperspy-1.7.0.tar.gz
Algorithm Hash digest
SHA256 49b3ea491fb5392227e7bcdbd8028c47b8c5aa9346dac58e02bff08f06ea1244
MD5 665a6783785d14436d127e550158df2f
BLAKE2b-256 c2544fd53af9000d4ea7ec0f99aa6a7db7aa90a21eef36749ff172ff6577f1f1

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 32.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for hyperspy-1.7.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f025c3bee1c1131c1292f417882685db01253fd04bdc1ad13c5e1113780d8405
MD5 088d275f1972df644085dd46d8057014
BLAKE2b-256 fd351030e3864ccd753e683f4c5ba35b46925d7e3c06819bfce4e071496ce421

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 3091cf8522db76657cca6b795c295a5e3e54e61d3a95523ad0f49f115e15e304
MD5 beae7c7d8ff532fe86864a764fcaa97b
BLAKE2b-256 4a18b99ed9220c14aba04b7ba3aaba5083d7ba22bd2b12ecb1a6a19f466e558e

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ee40a5ee169664d44e4cbf9c3738c4e0d79987069488419ad191e4b699ed02ac
MD5 ac6a67ae609269bce50ea53df80f3365
BLAKE2b-256 70822b5ca78f98cd16d113d8e57d456afa0f9a49dac0c9dd73e588db2dedab3a

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 32.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for hyperspy-1.7.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 04aaeda25ace9f8de9c80a63e8b1498102a281a420a3cc0b09b944fc8717508e
MD5 69d80c7c463f0349d8b0154c5d9967af
BLAKE2b-256 d29a62ff706d8d92f1df5a29bda798b072e85ac5deebf18fd484d29380455041

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 91650dc1b5e9997dc4c0dd08c409d68dd9cada0d4234ded26264d6366ca2766e
MD5 8eed93254b8dc68210189a00968383ed
BLAKE2b-256 9a16ea316044b6cadc4db951d4daf8b9038cebfcfbf0548fcfac9cb844039c7b

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 93ae392a5a0a4d1644df744fe96471e7de5429b49ca4383e88b717244858da55
MD5 6806e7a0bafd0a8f4d7fceab930de18b
BLAKE2b-256 b1e38fae965e98c887dedfb137b640a67bfe8e43c33f51353d2647beb49f7e56

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for hyperspy-1.7.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8798889dcb47b3bdc0154079932ec47ebb8fb69ef862bf3d0a8da106c551351b
MD5 d15bce7817d1ef7d80d26497ad9c695e
BLAKE2b-256 e9595f9e9f7604559c988551f6ce3873eeaccdd460a86603c2a684a19a3a6962

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 6c53a7b514ca7bf1f6b35db098d0fa4a84e1e73a4a51a07929d834ed960f7e65
MD5 be02da170f8ee8370311cff7c6a38406
BLAKE2b-256 ddf194b06936e9dba388659f3f8348397f68acc6dcba8e087432d159a5ae5825

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 23ae3f668c25b6f99706bcbf65e97aaf223df6189da946b1720ea2af97dac51c
MD5 5e4ccf6ecae69c363f1a94b5cf180f1d
BLAKE2b-256 161c76874acf02b702002f1aad2c101a56e6ca567492d966ee1fc91333d95ebb

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 32.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for hyperspy-1.7.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 afea4bce292a77b2e3df648a5e800f18759d1c15ae0cfa127c3ab3c9bcd35f14
MD5 784c7cdfac3acbc105fdb39362b7868e
BLAKE2b-256 5dcd61c4c516ddfb3888758b027b74a61b48ee8ef5670b71168962515010c306

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 63eb889cf6341586e02e38ca7c7a5f7479a7b3a617ad827dc4ce628de09ccac9
MD5 afd10027beb1db27de160b74ba149a0e
BLAKE2b-256 e98bfde827bf77a73381e7fe065e9e0d21f81f1e267a23e8910f8665c84d89cc

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.0-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 951b3cc8d9d243dc001c9256eaeadec9c97f9997b6cfd0c87a19a41ce293c437
MD5 ea77f5e7a117ab737897ffe9b96134bd
BLAKE2b-256 d6653322c59f7065f7e1385321f6c3c86851d48a0ba1ffa24094802251515b1d

See more details on using hashes here.

Supported by

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