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Scientists are increasingly developing software libraries for public use. This guide offers practical advice and examples for creating enduring, popular scientific software, emphasizing usability and longevity.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Scientific software development

Background:

  • Growing adoption of computational tools in life sciences.
  • Increased accessibility of software development and release platforms (e.g., GitHub, Jupyter, R/Shiny).
  • Prevalence of open-source licenses facilitating software sharing.

Purpose of the Study:

  • To provide a reference guide for developing user-friendly and sustainable scientific software libraries.
  • To offer practical insights and real-world examples for scientists new to software development.
  • To address the challenges of creating scientific software that achieves widespread adoption and longevity.

Main Methods:

  • Drawing upon the authors' practical experience in scientific software development.
  • Compiling best practices for building reusable and maintainable code.
  • Illustrating concepts with real-world examples to enhance understanding.

Main Results:

  • Identification of key characteristics that contribute to the enduring popularity of scientific software libraries.
  • A framework for scientists to approach the development of impactful software.
  • Guidance on best practices for software design, documentation, and community engagement.

Conclusions:

  • Developing successful scientific software requires a focus on user needs and long-term maintainability.
  • Adherence to best practices and leveraging available platforms can significantly enhance software adoption.
  • This guide serves as a foundational resource for scientists aiming to create lasting software contributions.