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

2.4.0

2.3.0

2.2.0

2.1.1

2.1.0

2.0.1

2.0

2.0rc0 pre-release

1.7.6

This version

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

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-1.7.5.tar.gz (31.8 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

hyperspy-1.7.5-cp311-cp311-win_amd64.whl (32.6 MB view details)

Uploaded CPython 3.11Windows x86-64

hyperspy-1.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

hyperspy-1.7.5-cp311-cp311-macosx_10_9_universal2.whl (32.6 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

hyperspy-1.7.5-cp310-cp310-win_amd64.whl (32.6 MB view details)

Uploaded CPython 3.10Windows x86-64

hyperspy-1.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

hyperspy-1.7.5-cp310-cp310-macosx_11_0_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

hyperspy-1.7.5-cp39-cp39-win_amd64.whl (32.6 MB view details)

Uploaded CPython 3.9Windows x86-64

hyperspy-1.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

hyperspy-1.7.5-cp39-cp39-macosx_11_0_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

hyperspy-1.7.5-cp38-cp38-win_amd64.whl (32.6 MB view details)

Uploaded CPython 3.8Windows x86-64

hyperspy-1.7.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

hyperspy-1.7.5-cp38-cp38-macosx_10_15_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

hyperspy-1.7.5-cp37-cp37m-win_amd64.whl (32.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

hyperspy-1.7.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

hyperspy-1.7.5-cp37-cp37m-macosx_10_15_x86_64.whl (32.6 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file hyperspy-1.7.5.tar.gz.

File metadata

  • Download URL: hyperspy-1.7.5.tar.gz
  • Upload date:
  • Size: 31.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for hyperspy-1.7.5.tar.gz
Algorithm Hash digest
SHA256 120039ac800af75d93d8f1c3d44e2cc791e9bfa650a766749b7dbfe0385958a8
MD5 2c1882b696bb59597c34b3c7cd4195a7
BLAKE2b-256 75ae23e1c1552b0eb4406ddca890e60cd925a5172842a5e885ac527d232f1efe

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 32.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for hyperspy-1.7.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a52640594af5e8dbc56eea1ebde2db8476ae25176fd5abeae19c883552eb86bf
MD5 1ca53a2d4629548ba0920aa901e9fa86
BLAKE2b-256 2a98c61c584f503023bba197a56e2d757302bdbe4e746cc1c2a21e59c5a19dac

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cb1fecb53c948f47f65b4e293fa9a765e1bee9306d3ffbe029f108ef6d04e405
MD5 6b72e404b1795172aa142d9b1ee9fa7d
BLAKE2b-256 7232ba61ba0df0b311ae875c547119b2245df2bd529c206d4fe84af2624af731

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b2ff97d91d183308696ba7493cacb6ab9699344db8add3e2ab87a60cf702e55e
MD5 57b979bf0d1a06b060280991e5f7c338
BLAKE2b-256 3b6a9641389f4262b4bdb05b9d7d1a9a32ebf751c6243adfe338f30b63db3eff

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 32.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for hyperspy-1.7.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4bd0334dca5c7faa6aaca826e854aab13b392c9def595bd800a2ff5cf428cb38
MD5 f26b13cda0f79212dc3a4deba6071e38
BLAKE2b-256 2ddd875d2c15f5b58f552bb844536855dcde80c819384a9b015bff9b8eb055ad

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8aadca559dec0ab015e2908d255f9f1bbc10804f2f6e4647a392bdbd5288b73d
MD5 5cd0b50a9d6c53b3a64fc1995f915f58
BLAKE2b-256 2112e311566f01d50ec2794a6c4b5230cae29bb2f0e2e7ed07e6679f65e883b5

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 191a72056c0bbc549432984cd684a527c25cf61fcceefade30cb38844693e5d7
MD5 13db4be57ce78958ea9917f2363495f6
BLAKE2b-256 097cab9f063071c1542470cbcab8ae0a1f86134682dca28c95ed47f24a65d421

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 32.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for hyperspy-1.7.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7103293ee89c80be021c08d26c1336734688de9ef8ce1eec6e56fd9675e0919b
MD5 e95bc7bb51ab7cd25ca524b062589dbd
BLAKE2b-256 e7694bc073ee4cba4ec09f2fc4c537a1939aba436b5a350ca7d8f87e72a0415b

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c5501ff1a8b99bcbea20884db5b5e3e445e8fc7a4d631bf606651412a59228a
MD5 c74739f7b0c2764a1e573626c6a25c78
BLAKE2b-256 f020bc7b7a238d3f8b526de1fc2a2a69ab31672f9e39cd2195ad48417f71a52c

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 70d5de925f8502cf50419685fe14c6fbb78c69195cbe49cb9360231a78a33b91
MD5 6a432dba5de6b55475b88f2c3cffc146
BLAKE2b-256 6db870b6eed5e5f5267b45ca31b9ec9af91c1811dac8799e6985ac8c3d7552ad

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 32.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for hyperspy-1.7.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 96e774df4502b54fe3674deeb9e892a9407c065856c9fe29fc30c570374d22c8
MD5 61e6d55b7459de99e6d24c02eaacc90d
BLAKE2b-256 f7927fec19e136571cd8321c8e2c0882ab05a047f5e675a644f9c601b544ed71

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fe9b65593e920e44235646a5185c6d038d9989fc20bbe5e4ed84f69c9efa0fc1
MD5 3f75360ba34e3711d7ee9ce118bdde46
BLAKE2b-256 3e982347b251b3679f5c8c218945b09f5c5b32474ad9964aaff2f60a2e551c4c

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8516f900d8c1eacf9bf5a47ed08e49fae3614d192195c8b73367870d5acc57cc
MD5 eb3178188a56a218fa34da7b6706984a
BLAKE2b-256 30a39a245562cd6628f5d7a6a5ed72e46309a4c28a347cf922950a3c1f7d1701

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 32.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for hyperspy-1.7.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0f75e168eb9205b40d1585397da8013a1ac8bf3586f7a1d64508e9866f88e50a
MD5 3eb6b84e099d2e751f594dccdd1c6654
BLAKE2b-256 2320a57dc805ea2f577f11a101853ca8d494c745d42276a7f026e36d6119b4aa

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d164d2242340aa4a69b64c74a83a6ba81a5a2d8b9672eb33ded32bf512371d98
MD5 d5b36b38d855c6d6c6b4daa6d535f9a4
BLAKE2b-256 cfe50e576a82c0752fdda2865b624de9c9745139469d26781f326b0c07adfafd

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.5-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.5-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5e8674df1a5edf57d3d83af372b7438940fe9b38aba2eaef1f3229cef561f9a9
MD5 06f360235f364c1feec22715abd3e63f
BLAKE2b-256 fe9e915357ab5c7f98301c2486748ec1f0414da170dfefa9047bcb4646f28b25

See more details on using hashes here.

Supported by

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