datom - A Unified Framework for Versioned, Traceable Tabular Data

Provides versioned storage for tabular data without a database or a server. Each table is written as an immutable, content-addressed version -- identical content is detected and stored only once -- while its version history and metadata are kept as code in a 'git' repository and the data itself in a local filesystem or cloud object storage ('S3'). Any past version can be read back exactly by its identifier, and each table records the sources it was derived from, so a project carries full data lineage. A lightweight reader role retrieves current or historical data from storage alone, without 'git' or write access, giving downstream analyses and pipelines a single versioned source of truth. It targets analytical and scientific data management, such as preparing clinical study datasets, and is designed as a foundation for higher-level governance tooling.