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FAQ
No. Rules-only mode is the default and is fully offline.
Not in the default metadata exposure. It sees column names, types, stats, and
pattern sketches. Opt into llm_exposure="sample" only when you accept sending
an anonymized sample.
By design. Missingness is reported; fill_na is never auto-proposed. Add it to
the recipe yourself if imputation is appropriate.
The source column was missing from the frame. Non-strict modes warn and continue;
strict raises. Prefer suggest_update / re-plan when schema drifts.
Yes — commit the recipe YAML and call apply_recipe (or the CLI apply
subcommand) in the task. Fail the run on DriftError.
pip install "cleanframe[excel]"pip install "cleanframe[parquet]"Yes — Jinja2 autoescape is on; covered by tests.
cast to int rounds floats (pandas nullable Int64). Prefer keeping amounts
as float, or round explicitly with the round op first.
GitHub Wiki — sources live in
wiki/ in this repository.