An Empirical Analysis of the Python Package Index (PyPI)
July 25, 2019 Β· Declared Dead Β· π Social Science Research Network
"No code URL or promise found in abstract"
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Authors
Ethan Bommarito, Michael Bommarito
arXiv ID
1907.11073
Category
cs.SE: Software Engineering
Cross-listed
cs.CY,
physics.soc-ph
Citations
38
Venue
Social Science Research Network
Last Checked
4 months ago
Abstract
In this research, we provide a comprehensive empirical summary of the Python Package Repository, PyPI, including both package metadata and source code covering 178,592 packages, 1,745,744 releases, 76,997 contributors, and 156,816,750 import statements. We provide counts and trends for packages, releases, dependencies, category classifications, licenses, and package imports, as well as authors, maintainers, and organizations. As one of the largest and oldest software repositories as of publication, PyPI provides insight not just into the Python ecosystem today, but also trends in software development and licensing more broadly over time. Within PyPI, we find that the growth of the repository has been robust under all measures, with a compound annual growth rate of 47% for active packages, 39% for new authors, and 61% for new import statements over the last 15 years. As with many similar social systems, we find a number of highly right-skewed distributions, including the distribution of releases per package, packages and releases per author, imports per package, and size per package and release. However, we also find that most packages are contributed by single individuals, not multiple individuals or organizations. The data, methods, and calculations herein provide an anchor for public discourse on PyPI and serve as a foundation for future research on the Python software ecosystem.
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