{"id":15887867,"url":"https://github.com/laurentrdc/iris-ued","last_synced_at":"2025-05-08T00:34:18.333Z","repository":{"id":51719732,"uuid":"47641427","full_name":"LaurentRDC/iris-ued","owner":"LaurentRDC","description":"Ultrafast electron scattering data exploration","archived":false,"fork":false,"pushed_at":"2024-11-13T15:03:13.000Z","size":73695,"stargazers_count":16,"open_issues_count":0,"forks_count":7,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-05-05T08:42:00.696Z","etag":null,"topics":["physics","python","science","ultrafast","ultrafast-electron-diffraction","visualization"],"latest_commit_sha":null,"homepage":"https://iris-ued.readthedocs.io","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/LaurentRDC.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.rst","contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-12-08T18:33:25.000Z","updated_at":"2025-04-09T10:10:46.000Z","dependencies_parsed_at":"2024-09-05T17:34:14.089Z","dependency_job_id":"30ad15a2-c25a-4981-8cc7-373220aa9a21","html_url":"https://github.com/LaurentRDC/iris-ued","commit_stats":{"total_commits":2441,"total_committers":7,"mean_commits":348.7142857142857,"dds":0.06800491601802539,"last_synced_commit":"4caca4fc2ef9eabc8e8be012bc65e025da1b1d1e"},"previous_names":[],"tags_count":37,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LaurentRDC%2Firis-ued","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LaurentRDC%2Firis-ued/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LaurentRDC%2Firis-ued/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LaurentRDC%2Firis-ued/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LaurentRDC","download_url":"https://codeload.github.com/LaurentRDC/iris-ued/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252978479,"owners_count":21834907,"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":["physics","python","science","ultrafast","ultrafast-electron-diffraction","visualization"],"created_at":"2024-10-06T06:05:30.438Z","updated_at":"2025-05-08T00:34:18.313Z","avatar_url":"https://github.com/LaurentRDC.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Iris - Ultrafast Electron Scattering Data Exploration\n\n[![Documentation Build Status](https://readthedocs.org/projects/iris-ued/badge/?version=master)](http://iris-ued.readthedocs.io/) [![PyPI Version](https://img.shields.io/pypi/v/iris-ued.svg)](https://pypi.python.org/pypi/iris-ued) [![Conda-forge Version](https://img.shields.io/conda/vn/conda-forge/iris-ued.svg)](https://anaconda.org/conda-forge/iris-ued) [![DOI badge](https://img.shields.io/badge/DOI-10.1186%2Fs40679--018--0060--y-blue)](https://doi.org/10.1186/s40679-018-0060-y)\n\n\nIris is both a library for interacting with ultrafast electron\ndiffraction data, as well as a GUI frontend for interactively exploring\nthis data.\n\nIris also includes a plug-in manager so that you can explore your data.\n\n![Two instances of the iris GUI showing data exploration for ultrafast\nelectron diffraction of single crystals and\npolycrystals.](iris_screen.png)\n\n## Contents:\n  - [Installation](#installation)\n  - [Usage](#usage)\n  - [Test Data](#test-data)\n  - [Documentation](#documentation)\n  - [Citations](#citations)\n  - [Support / Report Issues](#support--report-issues)\n  - [License](#license)\n\n## Installation\n\nTo interact with `iris` datasets from a Python environment, the `iris` package must be installed. `iris` is available on PyPI; it can be installed with [pip](https://pip.pypa.io).:\n\n    python -m pip install iris-ued\n\n`iris` is also available on the conda-forge channel:\n\n    conda config --add channels conda-forge\n    conda install iris-ued\n\nTo install the latest development version from\n[Github](https://github.com/LaurentRDC/iris-ued):\n\n    python -m pip install git+git://github.com/LaurentRDC/iris-ued.git\n\nEach version is tested against Python 3.8+. If you are using a different\nversion, tests can be run using the `pytest` package.\n\n### Windows Installers\n\nFor Windows, installers are available on the [Releases](https://github.com/LaurentRDC/iris-ued/releases) page. You will still need to install `iris` via `pip` or `conda` to use the scripting functionality.\n\n## Usage\n\nOnce installed, the package can be imported as `iris`.\n\nThe GUI component can be launched from a command line interpreter as\n`python -m iris` or `pythonw -m iris` (no console window). See the documentation\nfor a visual guide.\n\n## Documentation\n\nThe [Documentation on readthedocs.io](https://iris-ued.readthedocs.io)\nprovides API-level documentation, as well as tutorials.\n\n## Citations\n\nIf you find this software useful, please consider citing the following\npublication:\n\n\u003e L. P. René de Cotret, M. R. Otto, M. J. Stern. and B. J. Siwick, *An open-source software ecosystem for the interactive exploration of ultrafast electron scattering data*, Advanced Structural and Chemical Imaging 4:11 (2018) [DOI: 10.1186/s40679-018-0060-y.](https://ascimaging.springeropen.com/articles/10.1186/s40679-018-0060-y)\n\nIf you are using the baseline-removal functionality of iris-ued,\nplease consider citing the following publication:\n\n\u003e L. P. René de Cotret and B. J. Siwick, *A general method for baseline-removal in ultrafast electron powder diffraction data using the dual-tree complex wavelet transform*, Struct. Dyn. 4 (2017) [DOI: 10.1063/1.4972518](https://doi.org/10.1063/1.4972518).\n\n## Support / Report Issues\n\nAll support requests and issue reports should be [filed on Github as an\nissue](https://github.com/LaurentRDC/iris-ued/issues).\n\n## License\n\niris is made available under the GPLv3 License. For more details, see\n[LICENSE.txt](https://github.com/LaurentRDC/iris-ued/blob/master/LICENSE.txt).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaurentrdc%2Firis-ued","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flaurentrdc%2Firis-ued","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaurentrdc%2Firis-ued/lists"}