DataLad extensions
DataLad is not just a single software package. Numerous extension packages can equip the base
package with additional functionality, or even tailor and tune the way the base package works.
DataLad extensions are shipped as separate Python packages. The installation is
typically done with standard Python package managers, such as pip. For some extensions
it may be necessary to perform additional set up steps in order to become fully functional.
Here is a list of available extension packages for the DataLad software:
Subsections of DataLad extensions
datalad-container extension
This extension equips DataLad’s run/rerun functionality with the ability to
transparently execute commands in containerized computational environments.
datalad-next extension
This DataLad extension can be thought of as a staging area for additional
functionality, or for improved performance and user experience. Unlike other
topical or more experimental extensions, the focus here is on functionality
with broad applicability. This extension is a suitable dependency for other
software packages that intend to build on this improved set of functionality.
datalad-xnat extension
This extension packages equips DataLad with a set of commands to track XNAT projects.
XNAT is an open source imaging informatics platform developed by the Neuroinformatics Research Group at Washington University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data. XNAT can be used to support a wide range of neuro/medical imaging-based projects.
