Popular 1k columnar tables

A set of relational tables stored in a columnar format such as Apache ORC, which is particularly suited for scale-out analyses on data lakes and big data processing ecosystems such as the Hadoop environment.

Comments

This is a subgraph of the 2025-05-18 export, filtered by rooting from 1000 popular origins:

  • 900 among the most starred GitHub repositories (as of July 1st 2025)
  • 100 among the most frequently installed Debian packages (according to the Debian Popularity Contest database published on Sept 3rd 2025).
Dataset size
202 GB
Export date
Teaser of
Graph export in columnar tables [2025-05-18]
S3 URL
s3://softwareheritage/graph/2025-05-18-popular-1k/orc/
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/2025-05-18-popular-1k/orc/ 2025-05-18-popular-1k-orc
# OR
swh datasets download-export 2025-05-18-popular-1k

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:

  1. 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”
  2. 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)

By accessing the datasets, you agree with the Software Heritage Ethical Charter for using the archive data, the terms of use for bulk access, and the Software Heritage principles for large language models.

To learn how to use the datasets read the documentation.