Core typed relational planning layer for Python DataFrames.
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Project description
planframe
Core package for PlanFrame (typed planning layer). Import as planframe.
What you get
planframe.Frame: immutable, schema-aware transformation plan (always lazy)planframe.expr: typed expression IR (col,lit, arithmetic/compare/boolean ops,coalesce,if_else, etc.)planframe.schema: schema reflection (dataclass + Pydantic) and materialization
Note on backends
planframe is backend-agnostic. It does not execute anything until collect() (even for eager backends). To execute plans you need an adapter package (e.g. planframe-polars).
Typing
PlanFrame includes py.typed plus generated stubs (notably planframe/frame.pyi) to improve static typing in editors and Pyright.
If you modify the Frame API, regenerate stubs from the repo root:
python scripts/generate_typing_stubs.py
python scripts/generate_typing_stubs.py --check
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