Ten simple rules on writing clean and reliable open-source scientific software

• Haley Hunter-Zinck,

  Affiliations Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California, United States of America, Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, United States of America, VA Boston Healthcare System, Boston, Massachusetts, United States of America, VA St. Louis Health Care System, St. Louis, Missouri, United States of America

  https://orcid.org/0000-0001-5853-3668

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• Alexandre Fioravante de Siqueira,

  Affiliation Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California, United States of America

  https://orcid.org/0000-0003-1320-4347

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• Váleri N. Vásquez,

  Affiliations Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California, United States of America, Energy and Resources Group, Rausser College of Natural Resources, University of California, Berkeley, Berkeley, California, United States of America

  https://orcid.org/0000-0003-2108-6459

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• Richard Barnes,

  Affiliations Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California, United States of America, Energy and Resources Group, Rausser College of Natural Resources, University of California, Berkeley, Berkeley, California, United States of America

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• Ciera C. Martinez

  * E-mail: ccmartinez@berkeley.edu

  Affiliation Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California, United States of America

  https://orcid.org/0000-0003-4296-998X

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