2019/10/04 The Software Heritage Graph Dataset: Public Software Development Under One Roof

2019-10-04T14:00:00Z session topic is The Software Heritage Graph Dataset: Public Software Development Under One Roof. Antoine Pietri, first author of the paper, will join us for the discussion :tada: Here is the abstract of the paper:

Software Heritage is the largest existing public archive of software source code and accompanying development history: it currently spans more than five billion unique source code files and one billion unique commits, coming from more than 80 million software projects.

This paper introduces the Software Heritage graph dataset: a fully-deduplicated Merkle DAG representation of the Software Heritage archive. The dataset links together file content identifiers, source code directories, Version Control System (VCS) commits tracking evolution over time, up to the full states of VCS repositories as observed by Software Heritage during periodic crawls. The dataset’s contents come from major development forges (including GitHub and GitLab), FOSS distributions (e.g., Debian), and language-specific package managers (e.g., PyPI). Crawling information is also included, providing timestamps about when and where all archived source code artifacts have been observed in the wild.

The Software Heritage graph dataset is available in multiple formats, including downloadable CSV dumps and Apache Parquet files for local use, as well as a public instance on Amazon Athena interactive query service for ready-to-use powerful analytical processing.

Source code file contents are cross-referenced at the graph leaves, and can be retrieved through individual requests using the Software Heritage archive API.

:writing_hand: We take notes and prepare the discussion in a public GDoc, you are very welcome to ask questions or share your thoughts in it

:clock4: The session lasts for one hour between 2019-10-04T14:00:00Z and 2019-10-04T15:00:00Z

:world_map: The reading club happens on-line on zoom or in source{d} office in Madrid

:information_source: For more details, see our repository on GitHub