DataLad — data management and publication multitool¶
Welcome to DataLad’s technical documentation. Information here is targeting software developers and is focused on the Python and command line APIs, as well as software design, employed technologies, and key features. Comprehensive user documentation with information on installation, basic operation, support, and (advanced) use case descriptions is available in the DataLad handbook.
Content¶
Concepts and technologies¶
Commands and API¶
Extension packages¶
DataLad can be customized and additional functionality can be integrated via extensions. Each extension provides its own documentation:
- Crawling web resources and automated data distributions
- Neuroimaging data and workflows
- Containerized computational environments
- Advanced metadata tooling with JSON-LD reporting and additional metadata extractors
- Resources for working with the UKBiobank as a DataLad dataset
- Deposit and retrieve DataLad datasets via the Open Science Framework
- Functionality that has been phased out of the core package
- Special interest functionality or drafts of future additions to DataLad proper