planframe 0.3.0

Core typed relational planning layer for Python DataFrames.

planframe

Core package for PlanFrame (typed planning layer). Import as planframe.

Documentation (ReadTheDocs):

• Core (adapter authors): https://planframe.readthedocs.io/en/latest/planframe/
• Design docs: https://planframe.readthedocs.io/en/latest/planframe/design/
• Light API reference: https://planframe.readthedocs.io/en/latest/planframe/reference/api/

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.), plus aggregation wrappers for use inside group_by(...).agg(...): agg_sum, agg_mean, agg_min, agg_max, agg_count, agg_n_unique (these build AggExpr nodes)
• planframe.groupby.GroupedFrame: produced by Frame.group_by; group_by accepts column names and/or expressions (expression keys show up as __pf_g0, __pf_g1, … in the result schema). agg accepts (op, column) tuples and/or AggExpr values—not arbitrary bare expressions
• 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).

For async stacks, Frame.acollect(), Frame.ato_dicts(), and Frame.ato_dict() await adapter hooks (BaseAdapter.acollect and friends); defaults run sync methods in a thread pool. See https://planframe.readthedocs.io/en/latest/planframe/design/backend-adapter-design/.

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