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

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

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v3 (GPLv3)
Natural Language
- English
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering
- Scientific/Engineering :: Physics

Metadata

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v3 (GPLv3)
Natural Language
- English
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering
- Scientific/Engineering :: Physics

Release files for hyperspy 1.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hyperspy 1.3.1
File	Size	Uploaded
hyperspy-1.3.1-1.tar.gz	54.8 MB	Apr 19, 2018	Details

Built distributions (wheels)

Table of built distributions (wheels) for hyperspy 1.3.1
File	Interpreter	ABI	Platform	Reset
hyperspy-1.3.1-cp36-cp36m-win_amd64.whl 55.3 MB Apr 20, 2018	CPython 3.6	CPython 3.6 pymalloc	Windows x86-64	Details
hyperspy-1.3.1-cp36-cp36m-win32.whl 55.3 MB Apr 20, 2018	CPython 3.6	CPython 3.6 pymalloc	Windows x86-32	Details
hyperspy-1.3.1-cp36-cp36m-macosx_10_7_x86_64.whl 55.3 MB Apr 19, 2018	CPython 3.6	CPython 3.6 pymalloc	macOS 10.7+ x86-64	Details
hyperspy-1.3.1-cp35-cp35m-win_amd64.whl 55.3 MB Apr 20, 2018	CPython 3.5	CPython 3.5 pymalloc	Windows x86-64	Details
hyperspy-1.3.1-cp35-cp35m-win32.whl 55.3 MB Apr 20, 2018	CPython 3.5	CPython 3.5 pymalloc	Windows x86-32	Details
hyperspy-1.3.1-cp35-cp35m-macosx_10_6_x86_64.whl 55.3 MB Apr 19, 2018	CPython 3.5	CPython 3.5 pymalloc	macOS 10.6+ x86-64	Details

Total release size: 386.4 MB

Release files / hyperspy-1.3.1-1.tar.gz

Download URL	hyperspy-1.3.1-1.tar.gz
Size	54.8 MB
Tags	Source
SHA-256 checksum How to use checksums	`228f96a8e69253677bf5023e3d73b1d23c00bb3e8afc49a44b670ec3119685f9`
BLAKE2b-256 checksum How to use checksums	`a3116d09d188e1cff891b9e3748b7cd56d4a3b1db4cab07546ea8b87d19f6d75`
Upload date	Apr 19, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp36-cp36m-win_amd64.whl

Download URL	hyperspy-1.3.1-cp36-cp36m-win_amd64.whl
Size	55.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum How to use checksums	`74e0343b5d010f2abfe919203ca1df6f0e36b2b221d45dcd3b584227544190e6`
BLAKE2b-256 checksum How to use checksums	`a190656b1c5542294e2ba771b869f1e7500aafd78abbaf8255b3a1ee6ce65002`
Upload date	Apr 20, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp36-cp36m-win32.whl

Download URL	hyperspy-1.3.1-cp36-cp36m-win32.whl
Size	55.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Windows x86-32
SHA-256 checksum How to use checksums	`35965b74c06943373498db82b8d93688da5a2d6cb8d00d61d5f694126ac32e7b`
BLAKE2b-256 checksum How to use checksums	`892bc405cfb074d6e1d7e9ba295501290a49b3aeb71b766c320040850572f405`
Upload date	Apr 20, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp36-cp36m-macosx_10_7_x86_64.whl

Download URL	hyperspy-1.3.1-cp36-cp36m-macosx_10_7_x86_64.whl
Size	55.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc macOS 10.7+ x86-64
SHA-256 checksum How to use checksums	`a7d1d26b42ce00e0c8bdd3a470689dcc25491f879ab077023b152a26dea0fb24`
BLAKE2b-256 checksum How to use checksums	`98747e276f758eaf5a9038570d916946510d70299686218e24ae71b3cccb15f0`
Upload date	Apr 19, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp35-cp35m-win_amd64.whl

Download URL	hyperspy-1.3.1-cp35-cp35m-win_amd64.whl
Size	55.3 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum How to use checksums	`52a9708a4476551b1b53e1453f6e69666136f85d91daa48f5e13d83c6ff52e28`
BLAKE2b-256 checksum How to use checksums	`8151182338abb6bb2b222e1695e512f1b32b398596e0eb10bc065d6632639669`
Upload date	Apr 20, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp35-cp35m-win32.whl

Download URL	hyperspy-1.3.1-cp35-cp35m-win32.whl
Size	55.3 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Windows x86-32
SHA-256 checksum How to use checksums	`b3473e717e21ae582cf3cd9e26ce29f7a5d327bedd13d7fcdf3afe545cd4f9b5`
BLAKE2b-256 checksum How to use checksums	`1cf1d0d8a7e5fdd92b24a73e6982e7be9015c1cd85a436d93c3c7993f8efb2f5`
Upload date	Apr 20, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / hyperspy-1.3.1-cp35-cp35m-macosx_10_6_x86_64.whl

Download URL	hyperspy-1.3.1-cp35-cp35m-macosx_10_6_x86_64.whl
Size	55.3 MB
Tags	CPython 3.5 CPython 3.5 pymalloc macOS 10.6+ x86-64
SHA-256 checksum How to use checksums	`5fa49d3cbe60c45688bfd0bb784c01d3bfeabd47853f6b5797af1e567efa1e20`
BLAKE2b-256 checksum How to use checksums	`9e3c340c1c5f86d140fa07552e4e134d563cf696ab26f84327221e217d8a3bff`
Upload date	Apr 19, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No