Dataset

We aim to provide regular exports of the Software Heritage graph in two different formats:

  • Columnar data storage: 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.

  • 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.

Summary of dataset versions

Full graph:

Name

# Nodes

# Edges

Columnar

Compressed

2022-04-25

25,340,003,875

375,867,687,011

2021-03-23

20,667,308,808

232,748,148,441

2020-12-15

19,330,739,526

213,848,749,638

2020-05-20

17,075,708,289

203,351,589,619

2019-01-28

11,683,687,950

159,578,271,511

Teaser datasets:

Name

# Nodes

# Edges

Columnar

Compressed

2021-03-23-popular-3k-python

45,691,499

1,221,283,907

2020-12-15-gitlab-all

1,083,011,764

27,919,670,049

2020-12-15-gitlab-100k

304,037,235

9,516,984,175

2019-01-28-popular-4k

?

?

2019-01-28-popular-3k-python

27,363,226

346,413,337

Full graph datasets

Because of their size, some of the latest datasets are only available for downside from Amazon S3.

2022-04-25

A full export of the graph dated from April 2022

  • Columnar tables (Apache ORC):

    • Total size: 11 TiB

    • S3: s3://softwareheritage/graph/2022-04-25/orc

  • Compressed graph:

    • S3: s3://softwareheritage/graph/2022-04-25/compressed

2021-03-23

A full export of the graph dated from March 2021.

  • Columnar tables (Apache ORC):

  • Compressed graph:

    • S3: s3://softwareheritage/graph/2021-03-23/compressed

2020-12-15

A full export of the graph dated from December 2020. Only available in compressed representation.

2020-05-20

A full export of the graph dated from May 2020. Only available in compressed representation. (DEPRECATED: known issue with missing snapshot edges.)

2019-01-28

A full export of the graph dated from January 2019. The export was done in two phases, one of them called “2018-09-25” and the other “2019-01-28”. They both refer to the same dataset, but the different formats have various inconsistencies between them. (DEPRECATED: early export pipeline, various inconsistencies).

Teaser datasets

If the above datasets are too big, we also provide “teaser” datasets that can get you started and have a smaller size fingerprint.

2020-12-15-gitlab-all

A teaser dataset containing the entirety of Gitlab, exported in December 2020. Available in compressed graph format.

2020-12-15-gitlab-100k

A teaser dataset containing the 100k most popular Gitlab repositories, exported in December 2020. Available in compressed graph format.

2019-01-28-popular-3k-python

The popular-3k-python teaser contains a subset of 3052 popular repositories tagged as being written in the Python language, from GitHub, Gitlab, PyPI and Debian. The selection criteria to pick the software origins was the following, similar to popular-4k:

  • the 1000 most popular GitHub projects written in Python (by number of stars),

  • the 131 Gitlab projects written in Python that have 2 stars or more,

  • the 1000 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),

  • the 1000 most popular Debian packages with the debtag implemented-in::python (by “votes” according to the Debian Popularity Contest database).

  • Columnar (Apache Parquet):