CITATION.cff

title: Codefair
authors:
  - given-names: Dorian
    family-names: Portillo
    email: dportillo@calmi2.org
    affiliation: FAIR Data Innovations Hub, California Medical Innovations Institute
  - given-names: Sanjay
    family-names: Soundarajan
    email: ssoundarajan@calmi2.org
    affiliation: FAIR Data Innovations Hub, California Medical Innovations Institute
  - given-names: Bhavesh
    family-names: Patel
    email: bpatel@calmi2.org
    affiliation: FAIR Data Innovations Hub, California Medical Innovations Institute
cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
type: software
doi: 10.5281/zenodo.14503664
abstract: >-
  Codefair is a free and open source GitHub app that acts as your personal
  assistant when it comes to making your research software reusable and
  especially complying with the Findable, Accessible, Interoperable, Reusable
  (FAIR) Principles for Research Software (FAIR4RS Principles). Whether you are
  developing artificial intelligence (AI)/machine learning (ML) models with
  Python, data visualization tools with Jupyter notebook, or data analysis code
  with R, Codefair is here to assist you.
keywords:
  - best-practices
  - fair
  - research
  - reusable
  - software
license: MIT
repository-code: https://github.com/fairdataihub/codefair-app
date-released: '2024-12-16'
version: 3.2.1