{
  "abstract": "OpenTURNS (www.openturns.org) is an open-source Python package for probabilistic modeling, uncertainty quantification (UQ), and machine learning. It provides a unified interface, granting users access to a comprehensive set of state-of-the-art algorithms and modeling tools. The library is supported by extensive, regularly updated, easy to read documentation, including introductory examples, various use cases, tutorials, and user guides, enhancing its accessibility. OpenTURNS integrates seamlessly with NumPy, Pandas, and other scientific Python packages, allowing users to develop UQ workflows and generate reproducible results. Its modular architecture enables both newcomers and advanced users to access reliable, well-tested methods for uncertainty propagation, sensitivity analysis, and reliability assessment. Its active community provides additional support and resources through a Discourse forum (OpenTURNS’s Forum, 2020) and a website. Stable releases are published on a semiannual basis, and the library is distributed through Conda, pip, and Debian repositories and available on Linux, Windows, and macOS.",
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  "authors": [
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      "name": "Michaël Baudin"
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    {
      "name": "Anne Dutfoy"
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    {
      "name": "Régis Lebrun"
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    {
      "name": "Julien Schueller"
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    {
      "name": "Sofiane Haddad"
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    {
      "name": "Loïc Brevault"
    },
    {
      "name": "Mathieu Balesdent"
    },
    {
      "name": "Julien Pelamatti"
    },
    {
      "name": "Joseph Muré"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8ry5kqmmwgqvy.bib",
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  "doi": "10.21105/joss.10484",
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  "pdf_url": "https://hal.science/hal-05763165/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-02",
  "publisher": "Open Journals",
  "ris": "https://research.draconitic.com/paper/8ry5kqmmwgqvy.ris",
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      "first_seen": "2026-10-30T12:17:40Z",
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  "title": "OpenTURNS: A Python package for uncertainty quantification",
  "title_text": "OpenTURNS: A Python package for uncertainty quantification",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:40Z",
  "url": "https://research.draconitic.com/paper/8ry5kqmmwgqvy",
  "venue": "Journal of Open Source Software",
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}