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Colnade – Type-Safe DataFrames for Python
Type-safe DataFrames without plugins: catch column typos in your editor, not production.
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2 starsPython
Typedframes – Pandas/polars column name checking at lint time
by w-martin·Jun 6, 2026·3 points·2 comments
AI Analysis
●●SolidBig BrainNiche Gem
Lint-time DataFrame checking when Pandera only validates at runtime.
Strengths
- •Descriptor pattern enables refactoring by changing one definition, not find-and-replace across string literals.
- •Column inference from usecols and dtype catches errors on unannotated code without schema declarations.
- •Cross-file schema tracking follows typed return annotations through module boundaries.
Weaknesses
- •Explicitly marked proof-of-concept with rough edges, not production-ready yet.
- •Pandera already handles DataFrame validation, just at runtime instead of lint time.
Category
Target Audience
Data scientists and Python developers working with pandas/polars
Similar To
Pandera · Polars (built-in types) · mypy
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