Sold by: Software Heritage
Open data
|
Deployed on AWS
[Software Heritage](https://www.softwareheritage.org/) is the largest
existing public archive of software source code and accompanying
development history. The Software Heritage Graph Dataset is 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.
Author and committer information is anonymized.
Overview
Software Heritage is the largest existing public archive of software source code and accompanying development history. The Software Heritage Graph Dataset is 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. Author and committer information is anonymized.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Software Heritage Graph Dataset
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::softwareheritage
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://softwareheritage/
- Description
- [S3 Inventory](https://docs.aws.amazon.com/AmazonS3/latest/dev/storage-inventory.html#storage-inventory-contents) files
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::softwareheritage-inventory
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://softwareheritage-inventory/
Resources
Vendor resources
Support
Contact
Managed By
Software Heritage
How to cite
Software Heritage Graph Dataset was accessed on DATE from https://registry.opendata.aws/software-heritage .
License
The term "Software Heritage Graph Dataset" designates the internal structure of the Software Heritage archive, and explicitly excludes the file contents. The "Software Heritage Graph Dataset" is distributed under the Creative Commons Attribution 4.0 International license. For terms of use of all other contents found in the S3 buckets, contact datasets@softwareheritage.org
By accessing the dataset, 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 .
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