Popular 500 python compressed graph

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.

Comments: 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.
Dataset size: 15 GB
Export date: 2024-08-23
Teaser of: Full compressed graph [2024-08-23]
S3 URL: s3://softwareheritage/graph/2024-08-23-popular-500-python/compressed/
Deprecated: False

Download the dataset

For Amazon S3 links, you'll need to install either awscli or swh.datasets.

aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2024-08-23-popular-500-python/compressed/ 2024-08-23-popular-500-python-compressed
# OR
swh datasets download-graph 2024-08-23-popular-500-python

Referencing the dataset

If you use this dataset for research purposes, please acknowledge Software Heritage as recommended in the publications page, which means doing the next two things:

Add a footnote on the title page of your paper, formatted as: “This work was made possible by Software Heritage, the universal source code archive: https://www.softwareheritage.org”
Cite the following papers:
- Jean-François Abramatic, Roberto Di Cosmo, and Stefano Zacchiroli. Building the universal archive of source code. Commun. ACM, 61(10):29–31, 2018. URL: https://doi.org/10.1145/3183558, doi:10.1145/3183558. (BibTeX)
- Roberto Di Cosmo and Stefano Zacchiroli. Software heritage: why and how to preserve software source code. In Shoichiro Hara, Shigeo Sugimoto, and Makoto Goto, editors, Proceedings of the 14th International Conference on Digital Preservation, iPRES 2017, Kyoto, Japan, September 25-29, 2017. 2017. URL: https://hdl.handle.net/11353/10.931064. (BibTeX)
- Antoine Pietri, Diomidis Spinellis, and Stefano Zacchiroli. The software heritage graph dataset: public software development under one roof. In MSR 2019: The 16th International Conference on Mining Software Repositories, 138–142. IEEE, 2019. doi:10.1109/MSR.2019.00030. (BibTeX)