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| # This CITATION.cff file was generated with cffinit. | ||
| # Visit https://bit.ly/cffinit to generate yours today! | ||
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| cff-version: 1.2.0 | ||
| title: anywidget | ||
| message: >- | ||
| If you use this software, please cite it using the | ||
| metadata from this file. | ||
| type: software | ||
| title: "anywidget" | ||
| authors: | ||
| - given-names: Trevor | ||
| family-names: Manz | ||
| email: [email protected] | ||
| affiliation: Harvard Medical School | ||
| - given-names: "Trevor" | ||
| family-names: "Manz" | ||
| orcid: "https://orcid.org/0000-0001-7694-5164" | ||
| identifiers: | ||
| - type: doi | ||
| value: 10.5281/zenodo.8010549 | ||
| description: Zenodo | ||
| repository-code: "https://github.com/manzt/anywidget" | ||
| url: "https://anywidget.dev" | ||
| abstract: >- | ||
| anywidget is a Python library that simplifies the creation | ||
| and maintenance of Jupyter Widgets, making them more | ||
| accessible for computational scientists. By leveraging | ||
| ECMAScript modules (ESM), it addresses complex widget | ||
| packaging issues, enhancing the utility and | ||
| interoperability of custom widgets across different | ||
| environments. | ||
| affiliation: "Harvard Medical School" | ||
| url: "https://github.com/manzt/anywidget" | ||
| keywords: | ||
| - Jupyter Notebooks | ||
| - Jupyter Widgets | ||
| - Data Visualization | ||
| - Interactive Computing | ||
| - Data Analysis | ||
| license: MIT | ||
| preferred-citation: | ||
| type: article | ||
| title: "anywidget: reusable widgets for interactive analysis and visualization in computational notebooks" | ||
| authors: | ||
| - given-names: "Trevor" | ||
| family-names: "Manz" | ||
| orcid: "https://orcid.org/0000-0001-7694-5164" | ||
| affiliation: "Harvard Medical School" | ||
| - given-names: "Nezar" | ||
| family-names: "Abdennur" | ||
| affiliation: "University of Massachusetts Chan Medical School" | ||
| orcid: "https://orcid.org/0000-0001-5814-0864" | ||
| - given-names: "Nils" | ||
| family-names: "Gehlenborg" | ||
| affiliation: "Harvard Medical School" | ||
| orcid: "https://orcid.org/0000-0003-0327-8297" | ||
| doi: "10.31219/osf.io/tw9sg" | ||
| journal: "OSF preprint" | ||
| month: 6 | ||
| year: 2024 |