Datasets based on the 2023-09-06 export

4 datasets

• Compressed graph #

  Dataset size

  11 TiB

  Export date

  2023-09-06

  Teaser dataset

  Popular 1k compressed graph (42 GB)

  S3 URL

  s3://softwareheritage/graph/2023-09-06/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/compressed/ 2023-09-06-compressed
  # OR
  swh datasets download-graph 2023-09-06

• Graph export in columnar tables #

  Dataset size

  18 TiB

  Export date

  2023-09-06

  Teaser dataset

  Popular 1k columnar tables (280 GB)

  S3 URL

  s3://softwareheritage/graph/2023-09-06/orc/

  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/orc/ 2023-09-06-orc
  # OR
  swh datasets download-export 2023-09-06

• Popular 1k columnar tables #

  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

  280 GB

  Export date

  2023-09-06

  Teaser of

  Graph export in columnar tables [2023-09-06]

  S3 URL

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

  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/orc/ 2023-09-06-popular-1k-orc
  # OR
  swh datasets download-export 2023-09-06-popular-1k

• 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

  Compressed graph [2023-09-06]

  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

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.

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