A compact and highly-efficient representation of the graph dataset, suited for scale-up analysis on high-end machines with large amounts of memory. The graph is compressed in Boldi-Vigna representation, designed to be loaded by the WebGraph framework, specifically using our swh-graph library.
This teaser contains a subset of the 443 repositories archived by Software Heritage as of 2024-08-23, among the 700 GitHub repositories tagged as being written in Python with the most stars.
The popular-1k teaser contains a subset of 1120 popular repositories tagged as being written in one of the 10 most popular languages (Javascript, Python, Java, Typescript, C#, C++, PHP, Shell, C, Ruby), from GitHub, GitLab.com, Packagist, PyPI and Debian. The selection criteria to pick the software origins for each language was the following:
the 50 most popular Gitlab.com projects written in that language that have 2 stars or more,
for Python, the 50 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
for PHP, the 50 most popular Packagist projects (by usage statistics, according to Packagist's API),
the 50 most popular Debian packages with the relevant implemented-in:: debtag (by "installs" according to the Debian Popularity Contest database).
most popular GitHub projects written in Python (by number of stars), until the total number of origins for that language reaches 200
removing origins not archived by Software Heritage by 2023-09-06
The popular-3k-python teaser contains a subset of 2197 popular repositories tagged as being written in the Python language, from GitHub, GitLab.com, PyPI and Debian. The selection criteria to pick the software origins was the following:
the 580 most popular GitHub projects written in Python (by number of stars),
the 135 GitLab.com projects written in Python that have 2 stars or more,
the 827 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
the 655 most popular Debian packages with the debtag implemented-in::python (by "votes" according to the Debian Popularity Contest database)
If you use these datasets for research purposes, please cite the following paper:
Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli.
The Software Heritage Graph Dataset: Public software development under one roof.
In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Co-located with ICSE 2019.
preprint, bibtex