🚗 Step right up — ddigraph 0.4.0 is on the lot.
Got DDI-C, DDI-L, or CDI metadata sitting around and wish it behaved more like a graph?
That’s what ddigraph is for.
PyPI: https://pypi.org/project/ddigraph/0.4.0/
GitHub: https://github.com/pbisson44/ddigraph
It helps turn DDI and CDI metadata into graph-friendly structures, with support for backends like Neo4j, RDF/SPARQL, Gremlin, NetworkX, and pandas.
And yes, we’ve checked under the hood.
You get streaming XML processing for larger files, batched writes so your database is not getting nickel-and-dimed one trip at a time, async I/O, format detection, and a setup that is meant to be extended instead of duct-taped forever.
Install it:
pip install ddigraphTry it:
ddigraph bootstrap ddigraph load survey.xml --dataset-id my-surveySo, if your metadata is still parked in DDI-C, DDI-L, CDI, or XML-adjacent chaos, and you want to get it moving into graph country, give ddigraph 0.4.0 a spin.
No pressure. But the keys are right there.
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