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Evolving collaboration, dependencies, and use in the Rust Open Source Software ecosystem.

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This study presents curated data on the Rust open source software (OSS) ecosystem, detailing developer activity and library dependencies over eight years. The data enables analysis of collaboration and success dynamics within large-scale decentralized software development.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Network Science

Background:

  • Open Source Software (OSS) development scales effectively through decentralized collaboration.
  • OSS ecosystems generate valuable data traces of developer contributions and interdependencies.
  • Understanding these traces is key to analyzing large-scale collaborative work.

Purpose of the Study:

  • To present curated data on the Rust OSS ecosystem spanning eight years.
  • To enable the study of developer activity, collaboration networks, and library dependencies.
  • To track the dynamics of use, visibility, and success within the ecosystem over time.

Main Methods:

  • Harvesting and curating data from the Rust ecosystem.
  • Analyzing developer contributions and evolving library dependencies.
  • Incorporating download and popularity metrics to track ecosystem dynamics.

Main Results:

  • Detailed eight-year dataset of developer activity in the Rust ecosystem.
  • Reconstruction of evolving developer collaboration and library dependency networks.
  • Insights into the dynamics of use, visibility, and success of Rust libraries.

Conclusions:

  • The curated dataset provides a comprehensive view of the Rust ecosystem's development.
  • Enables in-depth analysis of large-scale decentralized software development.
  • Facilitates research into the factors driving OSS ecosystem growth and success.