{"id":13605559,"url":"https://github.com/hyperspy/hyperspy","last_synced_at":"2026-01-26T19:28:34.340Z","repository":{"id":37484559,"uuid":"2233998","full_name":"hyperspy/hyperspy","owner":"hyperspy","description":"Multidimensional data analysis","archived":false,"fork":false,"pushed_at":"2025-05-05T20:11:59.000Z","size":315278,"stargazers_count":543,"open_issues_count":282,"forks_count":212,"subscribers_count":23,"default_branch":"RELEASE_next_minor","last_synced_at":"2025-05-05T21:26:55.803Z","etag":null,"topics":["data-analysis","data-visualization","life-sciences","materials-science","multi-dimensional","physical-sciences","python"],"latest_commit_sha":null,"homepage":"https://hyperspy.org","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hyperspy.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGES.rst","contributing":".github/CONTRIBUTING.md","funding":null,"license":"COPYING.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS.txt","dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2011-08-19T13:14:36.000Z","updated_at":"2025-05-01T19:40:32.000Z","dependencies_parsed_at":"2023-09-22T16:22:58.082Z","dependency_job_id":"59ba0100-f8ff-4c52-988a-af47a947d4ed","html_url":"https://github.com/hyperspy/hyperspy","commit_stats":{"total_commits":12627,"total_committers":104,"mean_commits":"121.41346153846153","dds":0.7248752672843906,"last_synced_commit":"23ed96099b360a572be67a26ab2ad21c46d9110f"},"previous_names":[],"tags_count":58,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hyperspy%2Fhyperspy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hyperspy%2Fhyperspy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hyperspy%2Fhyperspy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hyperspy%2Fhyperspy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hyperspy","download_url":"https://codeload.github.com/hyperspy/hyperspy/tar.gz/refs/heads/RELEASE_next_minor","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254076850,"owners_count":22010611,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-visualization","life-sciences","materials-science","multi-dimensional","physical-sciences","python"],"created_at":"2024-08-01T19:01:00.251Z","updated_at":"2026-01-26T19:28:34.310Z","avatar_url":"https://github.com/hyperspy.png","language":"Python","readme":"\n[![Azure pipelines status](https://dev.azure.com/franciscode-la-pena-manchon/hyperspy/_apis/build/status/hyperspy.hyperspy?branchName=RELEASE_next_minor)](https://dev.azure.com/franciscode-la-pena-manchon/hyperspy/_build?definitionId=1\u0026_a=summary\u0026view=branches)\n[![Tests status](https://github.com/hyperspy/hyperspy/actions/workflows/tests.yml/badge.svg)](https://github.com/hyperspy/hyperspy/actions/workflows/tests.yml)\n[![Documentation status](https://readthedocs.org/projects/hyperspy/badge/?version=latest)](https://hyperspy.org/hyperspy-doc/current)\n[![Codecov coverage](https://codecov.io/gh/hyperspy/hyperspy/graph/badge.svg?token=X7T3LE121Q)](https://codecov.io/gh/hyperspy/hyperspy)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/hyperspy/hyperspy/RELEASE_next_minor.svg)](https://results.pre-commit.ci/latest/github/hyperspy/hyperspy/RELEASE_next_minor)\n\n[![Python Version](https://img.shields.io/pypi/pyversions/hyperspy.svg?style=flat)](https://pypi.python.org/pypi/hyperspy)\n[![PyPI Version](http://img.shields.io/pypi/v/hyperspy.svg?style=flat)](https://pypi.python.org/pypi/hyperspy)\n[![Anaconda Version](https://anaconda.org/conda-forge/hyperspy/badges/version.svg)](https://anaconda.org/conda-forge/hyperspy)\n[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n\n[![gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/hyperspy/hyperspy?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge\u0026utm_content=badge)\n[![DOI](https://zenodo.org/badge/2233998.svg)](https://zenodo.org/badge/latestdoi/2233998)\n\n\n**HyperSpy** is an open source Python library for the interactive analysis of\nmultidimensional datasets that can be described as multidimensional arrays\nof a given signal (for example, a 2D array of spectra, also known as a\nspectrum image).\n\n**HyperSpy** makes it straightforward to apply analytical procedures that\noperate on an individual signal to multidimensional arrays, as well as\nproviding easy access to analytical tools that exploit the multidimensionality\nof the dataset.\n\nIts modular structure makes it easy to add features to analyze many different\ntypes of signals. Visit the [HyperSpy Website](https://hyperspy.org) to learn more about HyperSpy and\nits extension packages and for instructions on how to install the package and get\nstarted in analysing your data.\n\nHyperSpy is released under the GPL v3 license.\n\n**Since version 0.8.4, HyperSpy only supports Python 3.** If you need to install\nHyperSpy in Python 2.7, please install version 0.8.3.\n\nContributing\n------------\n\nEveryone is welcome to contribute. Please read our [contributing \nguidelines](https://github.com/hyperspy/hyperspy/blob/RELEASE_next_minor/.github/CONTRIBUTING.md) \nand get started!\n","funding_links":[],"categories":["Python","🌻 Visualization"],"sub_categories":["Software tools"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhyperspy%2Fhyperspy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhyperspy%2Fhyperspy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhyperspy%2Fhyperspy/lists"}