⬢github Python · 18 ★ +8 since we first saw it · pushed 3 d ago · Apache-2.0
nodal-data/nodal-context
Nodal Context Repo - Open source business context for your data analytics
Nodal is an open-source Python package of agent skills for building governed analytics context. Instead of auto-generating a semantic layer, it interviews a human analyst to capture metric definitions, canonical tables, mandatory filters, and join pitfalls into reviewable context files, then uses agent workflows to answer data questions and verify results against those definitions.
Why now: Featured in a Show HN post arguing teams should 'interview your analysts instead of auto-generating a semantic layer,' tapping debates about whether AI agents can produce trustworthy analytics without human-defined business context.
Who it is for: Analytics/data teams with a queryable warehouse, a domain expert who owns definitions, and a local AI coding agent with read-only warehouse access.
analytics-engineeringclaude-codecodexdata-analysismcpsemantic-layerskills
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