Analysis of luminescence spectroscopy data with HyperSpy.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for ericpre from gravatar.com ericpre Avatar for jlaehne from gravatar.com jlaehne Avatar for jordiferrero from gravatar.com jordiferrero

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)
  • Author: The LumiSpy developers
  • Tags CL , PL , EL , TRCL , TRPL , SEM , STEM , TEM , cathodoluminescence , photoluminescence , electroluminescence , Raman , curve fitting , data analysis , electron microscopy , hyperspectral , hyperspectrum , hyperspy , luminescence spectroscopy , lumispy , machine learning , model , multidimensional , numpy , python , scipy , spectroscopy , spectrum image , time-resolved
  • Requires: Python >=3.9
  • Provides-Extra: tests , doc , dev
Classifiers
Report project as malware

Project description

Build Status Tests Codecov Status Code quality scan Documentation Status

Python Version PyPi Version Anaconda Version License: GPL v3 DOI

LumiSpy

LumiSpy is a Python package extending the functionality for multi-dimensional data analysis provided by the HyperSpy library. It is aimed at helping with the analysis of luminescence spectroscopy data (cathodoluminescence, photoluminescence, electroluminescence, Raman, SNOM).

If analysis using LumiSpy forms a part of published work, please consider recognising the code development by citing the project using the Zenodo-DOI.

Go to the documentation for instructions on how to install LumiSpy and start an analysis: Read the docs.

Tutorials and exemplary workflows have been curated as a series of Jupyter notebooks that you can work through and modify to perform many common analyses. These can be either downloaded and run locally or tried out using interactive online sessions.

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

Development of LumiSpy is documented in the changelog.

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for ericpre from gravatar.com ericpre Avatar for jlaehne from gravatar.com jlaehne Avatar for jordiferrero from gravatar.com jordiferrero

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)
  • Author: The LumiSpy developers
  • Tags CL , PL , EL , TRCL , TRPL , SEM , STEM , TEM , cathodoluminescence , photoluminescence , electroluminescence , Raman , curve fitting , data analysis , electron microscopy , hyperspectral , hyperspectrum , hyperspy , luminescence spectroscopy , lumispy , machine learning , model , multidimensional , numpy , python , scipy , spectroscopy , spectrum image , time-resolved
  • Requires: Python >=3.9
  • Provides-Extra: tests , doc , dev
Classifiers

Release history Release notifications | RSS feed

This version

0.3.0

0.2.2

0.2.1

0.2

0.1.3

0.1.2

0.1.0

Download files

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

Source Distribution

lumispy-0.3.0.tar.gz (294.4 kB view details)

Uploaded Source

Built Distribution

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

lumispy-0.3.0-py3-none-any.whl (74.5 kB view details)

Uploaded Python 3

File details

Details for the file lumispy-0.3.0.tar.gz.

File metadata

  • Download URL: lumispy-0.3.0.tar.gz
  • Upload date:
  • Size: 294.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for lumispy-0.3.0.tar.gz
Algorithm Hash digest
SHA256 97d33386f85a7cc946471e42f162077abec6cd305a89489531536bf171c96736
MD5 78204f21168adad8d51e5632ae5d3090
BLAKE2b-256 efd84b19b01328aa50b5368f9a070b7fdb694cfc84af8842da6a86882575e5eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for lumispy-0.3.0.tar.gz:

Publisher: release.yml on LumiSpy/lumispy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file lumispy-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: lumispy-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 74.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for lumispy-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 89352e45d6bd194bd34602f58ff37670dae6b0ac6bf79dcb927ba47e70a8e3ec
MD5 4ebe58ad7cf94537a9d25c501dad7bf7
BLAKE2b-256 01244298be9f2ae685308daf2c270f09fae8488d0f4c2124cbde3fea57da25f1

See more details on using hashes here.

Provenance

The following attestation bundles were made for lumispy-0.3.0-py3-none-any.whl:

Publisher: release.yml on LumiSpy/lumispy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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