Typedframes
Developer ProductivityStatic analysis tool that validates pandas and polars DataFrame column schemas at lint‑time, catching mismatches before runtime
Features
- Detects column access errors statically with mypy or a dedicated checker
- Supports both pandas and polars DataFrames using the same schema API
- Infers column sets from `usecols=`, `dtype=` and method chains without explicit annotations
- Provides refactor‑safe descriptor access (`Schema.column.s` for pandas, `Schema.column.col` for polars)
- Offers dynamic regex‑based ColumnSets for time‑series or varying schemas
Recent releases
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Install & Platforms
Install via
pip
