Skip to main content

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!

Download files

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

Source Distribution

hyperspy-1.7.2.tar.gz (31.4 MB view details)

Uploaded Source

Built Distributions

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

hyperspy-1.7.2-cp310-cp310-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.10Windows x86-64

hyperspy-1.7.2-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-1.7.2-cp310-cp310-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

hyperspy-1.7.2-cp39-cp39-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.9Windows x86-64

hyperspy-1.7.2-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-1.7.2-cp39-cp39-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

hyperspy-1.7.2-cp38-cp38-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.8Windows x86-64

hyperspy-1.7.2-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-1.7.2-cp38-cp38-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

hyperspy-1.7.2-cp37-cp37m-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.7mWindows x86-64

hyperspy-1.7.2-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-1.7.2-cp37-cp37m-macosx_10_15_x86_64.whl (32.4 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file hyperspy-1.7.2.tar.gz.

File metadata

  • Download URL: hyperspy-1.7.2.tar.gz
  • Upload date:
  • Size: 31.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for hyperspy-1.7.2.tar.gz
Algorithm Hash digest
SHA256 27b986bf6d497ff957b35f6412ca03f3dbb1250345df74e2aea248b0215feb40
MD5 ce50fff55d02214d26ce792b0ee39d33
BLAKE2b-256 b16b08833d23bc10525e6fad6006f5ccde7464835f4371dddb4905f0d78c4cc9

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for hyperspy-1.7.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4014f3b11ab6e153e140dac0ed3915f588662fb2b09b479bafea47a932ee989b
MD5 ce8d8cf4264bf5c94a2dc90ed7e2db1d
BLAKE2b-256 c5217b1bfdd93f44682a7103ec9ffdd80081796c3a19d07ef973785c61d0b9cc

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 ff64ed7e4623ebe1f55f537a5bb6703a8e0266503fa38cd16fd4326835c67634
MD5 907481fa69faaabcf1f80932f6471073
BLAKE2b-256 e7f04bb3bcbd8df4dfa891a5812e57082d8cd8e2ffd41bc8056b29489bd4f2d6

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8408cfb65553a57d77c6965c71e62e968c3a02ad3203e0b6bdb2a6a6fc1d6d13
MD5 f402dde4e87d9fce8253296cdd914a77
BLAKE2b-256 2235069922023903c33e7fc0ca51584a0e307c671a3c3e355d98880a74aff267

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for hyperspy-1.7.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bbfcdd700bc5cefb7508aa043c0496f304559db421952e3e75c4cae7fb0f07f9
MD5 6815f154a1867f4b47835e619cd7a205
BLAKE2b-256 4a1851c2b70136e8f9a19dc9c1a40beb967740e31ba34198a60b1e673737eec5

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 1728377d55c53c4a956cdbb7d0da18823d30f268bd5a064605dd124c1433bd9a
MD5 7505bdde91142018713fc03aa7e7abec
BLAKE2b-256 0393a6e45ba2ba1f4b25cc6ed2db9520e117fa3c357ba9d34d8e27f518f9a558

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 786b85524ffa5f77fe6e8171a6baa5880eb28449bf001eec685fc281208ac452
MD5 9bed3c400dc864a3da812e56dad35c51
BLAKE2b-256 7ad29559ba3e191f80c9e6e5dcda947354bfabe3f2b20a8a8e36546e378f1bd9

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.2-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/4.0.1 CPython/3.8.10

File hashes

Hashes for hyperspy-1.7.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e353e9872a987672a05693ed60ec810828cd98d0aaef2891e47f49ba22cea199
MD5 dcf579d99258b06168f8873921bbaa3f
BLAKE2b-256 e64ce56cb1733fa595bfdb5721d28e835f5b697ce0c5cb407d2edcd094edec1d

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 0fe5610917c3a168cb200b3bde8ad6391b181659261340fb9f398d3c59ecec02
MD5 8a6e4123a5bc0edd6f08917f7742eebd
BLAKE2b-256 3e50837e70ff7cd5981d451c7178b19c9fe453dcedab90b4f61bb42f73409417

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c8d81455e661f6f048ca0c3093bdd882369d238b2ccf47cd2455cd060b3e7037
MD5 3d52f4a7c4167d0128a7e549492d6c0a
BLAKE2b-256 4cd71bf8ea809df3896069044ea9a84fd2825a22aba01830db55444548b8a3ea

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.7.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for hyperspy-1.7.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9ad4681cf30e020c43d092bf0890489b28507b894d0ff7508834ba1cd9f6dd59
MD5 0205b4ac96c46f5586f1f0ae46f4be2f
BLAKE2b-256 a1768e5c9efbb7f16f3b68b6892a16a1562148020c107cb4ed19869db6ffa983

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 ce16719bd8c3ba932e6ca9812fb7bb931447c768a3c8dc999d57787df6b789c0
MD5 71a7ee3d9446f57843499b10f428d207
BLAKE2b-256 34e6e08db65645e565e447ed4b573c9098e6c5026da4311ed0e9be50234ae7db

See more details on using hashes here.

File details

Details for the file hyperspy-1.7.2-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for hyperspy-1.7.2-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 afd806ed343db2dac61936c3854698565eea90d3d9015074364c23447b98c166
MD5 e1097002b8ce43e626bd8c19d1fe75b1
BLAKE2b-256 7a59054d4985f5a2707329a9bbad8b27637187a9f4ad01234bbd0e67130caa6a

See more details on using hashes here.

Release history Release notifications | RSS feed

2.4.0

2 files

2.3.0

2 files

2.2.0

2 files

2.1.1

2 files

2.1.0

2 files

2.0.1

2 files

2.0

2 files

1.7.6

16 files

1.7.5

16 files

1.7.4

13 files

1.7.3

13 files

This release

1.7.2 This release

13 files

1.7.1

13 files

1.7.0

13 files

1.6.5

13 files

1.6.4

13 files

1.6.3

13 files

1.6.2

17 files

1.6.1

13 files

1.6.0

13 files

1.5.2

7 files

1.5.1

7 files

1.5

6 files

1.4.2

7 files

1.4.1

10 files

1.4

7 files

1.3.2

7 files

1.3.1

7 files

1.3

7 files

1.2

7 files

1.1.2

4 files

1.1.1

4 files

1.1

4 files

1.0.1

4 files

1.0

4 files

0.8.5

3 files

0.8.4

3 files

0.8.3

3 files

0.8.2

1 file

0.8.1

3 files

0.8

3 files

0.7.3

3 files

0.7.2

1 file

0.7.1

4 files

0.7

3 files

0.6

3 files

0.5.1

3 files

0.5

3 files

0.4.1

3 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page