- Documentation: start with the README and the
docs/folder (CLI reference, Python API reference, data-model guide, and task-oriented guides). - Examples: runnable scripts live in
examples/. - Questions and ideas: open a [GitHub Discussion] or a
question-labelled issue. - Bugs and feature requests: use the issue templates.
- Run
nrdax versionandnrdax infoand include the output. - Note whether the problem is with the tool or with the data it returned.
Data-quality problems (a broken reference, an odd record) should be reported so
the underlying dataset can be corrected;
nrdax's validation output (nrdax --source <src> info, or--strictto fail on the first issue) helps pinpoint them. - Provide a minimal reproduction: the exact command or a short Python snippet.
nrdax-python is a read/query/export/citation interface for public NRDAX data.
Requests to change the NRDAX dataset itself, or to add producer/write features, are
out of scope here - raise those with NullRabbit directly.
For questions about the NRDAX dataset, its licensing, or commercial use, contact opensource@nullrabbit.ai or see https://nullrabbit.ai.