Full compressed graph

6 datasets

• Popular 1k compressed graph #

  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

  2025-05-18

  Teaser of

  Full compressed graph [2025-05-18]

  Derived dataset

  Digestmap (4.8 GiB)

  S3 URL

  s3://softwareheritage/graph/2025-05-18-popular-1k/compressed/

  Download

  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/compressed/ 2025-05-18-popular-1k-compressed
  # OR
  swh datasets download-graph 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)
     • 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)

• Popular 500 python compressed graph #

  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/

  Download

  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:

  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)
     • 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)

• Popular 1k compressed graph #

  Comments

  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

  Dataset size

  42 GB

  Export date

  2023-09-06

  Teaser of

  Full compressed graph [2023-09-06]

  Derived dataset

  Digestmap (4.8 GiB)

  S3 URL

  s3://softwareheritage/graph/2023-09-06-popular-1k/compressed/

  Download

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

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2023-09-06-popular-1k/compressed/ 2023-09-06-popular-1k-compressed
  # OR
  swh datasets download-graph 2023-09-06-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)
     • 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)

• Popular 3k python compressed graph #

  Comments

  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)

  Dataset size

  15 GB

  Export date

  2021-03-23

  Teaser of

  Full compressed graph [2021-03-23]

  S3 URL

  s3://softwareheritage/graph/2021-03-23-popular-3k-python/compressed/

  Download

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

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2021-03-23-popular-3k-python/compressed/ 2021-03-23-popular-3k-python-compressed
  # OR
  swh datasets download-graph 2021-03-23-popular-3k-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:

  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)
     • 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)

• GitLab 100k compressed graph #

  Comments

  A teaser dataset containing the 100k most popular GitLab.com repositories

  Dataset size

  Unknown

  Export date

  2020-12-15

  Teaser of

  Full compressed graph [2020-12-15]

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2020-12-15-gitlab-100k/compressed/

  Download

  The HTTP links point to directories listing all available files.

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2020-12-15-gitlab-100k/compressed/

  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)
     • 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)

• GitLab all compressed graph #

  Comments

  A teaser dataset containing the entirety of GitLab.com

  Dataset size

  Unknown

  Export date

  2020-12-15

  Teaser of

  Full compressed graph [2020-12-15]

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2020-12-15-gitlab-all/compressed/

  Download

  The HTTP links point to directories listing all available files.

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2020-12-15-gitlab-all/compressed/

  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)
     • 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)

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.