Home — HyperSpy Website

Open source Python framework for exploring, visualizing and analyzing multi-dimensional data
Interactive visualization tools for multi-dimensional spectra and images.
Easy access to analytical tools that exploit the multi-dimensionality of datasets, including curve fitting and blind source separation.
Named and Scaled Axes
Two families of axes: signal and navigation with powerful numpy-style indexing mechanism and support for non-uniform axes.
Built on top of NumPy, SciPy, Numba, Matplotlib, Dask and Scikit-learn for high performance and stability.
Domain-specific libraries and modular design for easy extensibility.
Developed and maintained by scientists for scientists.
HyperSpy receives Open Science Award for Open Source Research Software
HyperSpy Tutorial at DPG Spring Meeting 2026
Generic multi-dimensional data analysis toolbox
Reading and writing scientific data formats
X-rays Energy Dispersive Spectroscopy (EDS) and Electron Energy Loss Spectroscopy (EELS) data analysis
4D-STEM (electron diffraction data) analysis
Electron backscatter diffraction (EBSD) data analysis
Luminescence spectroscopy data analysis (cathodoluminescence, photoluminescence, Raman, …)
Analysis of atomic resolution scanning transmission electron microscopy images
Off-axis electron holography data analysis
Segmentation and analysis of nanoparticles from electron microscopy data
Processing, alignment, and reconstruction of electron tomography data
Streamlined user interface to HyperSpy
Comprehensive documentation on how to use Hyperspy and the various extensions that form the Ecosystem.
Tutorials in the form of jupyter notebooks to demonstrate typical analysis workflows are hosted in dedicated repositories for each library, see e.g. HyperSpy demos.
Attend one of the HyperSpy workshops organised regularly. Past and future events can be found under News.
Ask the HyperSpy Community on the Gitter chat.
If you use HyperSpy and its extensions, please cite it in your publications. Our software is made by scientists who generously donate their time and attention. Citations help us justify the effort that goes into building and maintaining this project. Each of our libraries obtains DOIs from zenodo that can be found in the respective documentations. DOIs for specific versions of HyperSpy can be found by clicking on the Concept DOI button.
HyperSpy DOI: 10.5281/zenodo.592838
© Copyright 2007-2026, The HyperSpy community.
Created using Sphinx 9.1.0.
Built with the PyData Sphinx Theme 0.16.1.