What is HyperSpy#
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 datasets of any size, as well as providing easy access to analytical tools that exploit their multidimensionality.
New in version 1.5: External packages can extend HyperSpy by registering signals, components and widgets.
The functionality of HyperSpy can be extended by external packages, e.g. to implement features for analyzing a particular sort of data (usually related to a specific set of experimental methods). A list of packages that extend HyperSpy is curated in a dedicated repository. For details on how to register extensions see Writing packages that extend HyperSpy.
Changed in version 2.0: HyperSpy was split into a core package (HyperSpy) that provides the common infrastructure for multidimensional datasets and the dedicated IO package RosettaSciIO. Signal classes focused on specific types of data previously included in HyperSpy (EELS, EDS, Holography) were moved to specialized HyperSpy extensions.
HyperSpy’s character#
HyperSpy has been written by a subset of the people who use it, a particularity that sets its character:
To us, this program is a research tool, much like a screwdriver or a Green’s function. We believe that the better our tools are, the better our research will be. We also think that it is beneficial for the advancement of knowledge to share our research tools and to forge them in a collaborative way. This is because by collaborating we advance faster, mainly by avoiding reinventing the wheel. Idealistic as it may sound, many other people think like this and it is thanks to them that this project exists.
Not surprisingly, we care about making it easy for others to contribute to HyperSpy. In other words, we aim at minimising the “user becomes developer” threshold. Do you want to contribute already? No problem, see the Introduction for details.
The main way of interacting with the program is through scripting. This is because Jupyter exists, making your interactive data analysis productive, scalable, reproducible and, most importantly, fun. That said, widgets to interact with HyperSpy elements are provided where there is a clear productivity advantage in doing so. See the hyperspy-gui-ipywidgets and hyperspy-gui-traitsui packages for details. Not enough? If you need a full, standalone GUI, HyperSpyUI is for you.
Learning resources#
Citing HyperSpy#
If HyperSpy has been significant to a project that leads to an academic publication, please acknowledge that fact by citing it. The DOI in the badge below is the Concept DOI of HyperSpy. It can be used to cite the project without referring to a specific version. If you are citing HyperSpy because you have used it to process data, please use the DOI of the specific version that you have employed. You can find iy by clicking on the DOI badge below.
HyperSpy’s citation in the scientific literature#
Given the increasing number of articles that cite HyperSpy we do not maintain a list of articles citing HyperSpy. For an up to date list search for HyperSpy in a scientific database e.g. Google Scholar.
Note
Articles published before 2012 may mention the HyperSpy project under its old name, EELSLab.
Credits#
HyperSpy is maintained by an active community of developers.
The HyperSpy logo was created by Stefano Mazzucco. It is a modified version of this figure and the same GFDL license applies.
