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https://github.com/hyperspy/hyperspy
Multidimensional data analysis
https://github.com/hyperspy/hyperspy
data-analysis data-visualization life-sciences materials-science multi-dimensional physical-sciences python
Last synced: about 21 hours ago
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Multidimensional data analysis
- Host: GitHub
- URL: https://github.com/hyperspy/hyperspy
- Owner: hyperspy
- License: gpl-3.0
- Created: 2011-08-19T13:14:36.000Z (over 13 years ago)
- Default Branch: RELEASE_next_minor
- Last Pushed: 2025-01-20T22:51:32.000Z (10 days ago)
- Last Synced: 2025-01-23T04:06:29.828Z (8 days ago)
- Topics: data-analysis, data-visualization, life-sciences, materials-science, multi-dimensional, physical-sciences, python
- Language: Python
- Homepage: https://hyperspy.org
- Size: 300 MB
- Stars: 530
- Watchers: 25
- Forks: 209
- Open Issues: 283
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.rst
- Contributing: .github/CONTRIBUTING.md
- License: COPYING.txt
- Authors: AUTHORS.txt
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README
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[![DOI](https://zenodo.org/badge/2233998.svg)](https://zenodo.org/badge/latestdoi/2233998)**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. Visit the [HyperSpy Website](https://hyperspy.org) to learn more about HyperSpy and
its extension packages and for instructions on how to install the package and get
started in analysing your data.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](https://github.com/hyperspy/hyperspy/blob/RELEASE_next_minor/.github/CONTRIBUTING.md)
and get started!