CsvPath Framework

About CsvPath Framework

A delimited data preboarding framework that fills the gap between managed file transfer and the data lake. CsvPath provides a domain-specific language for validating, transforming, and routing CSV and other delimited files before ingestion.

Key Features

• 1Declarative validation language for CSV files inspired by XPath
• 2Rules defined as path expressions that match and validate CSV rows
• 3Supports conditional logic, lookups, and cross-row validation
• 4Python library with CLI for integration into data validation pipelines
• 5Designed for complex business rule validation on flat-file data

How Python Data Engineers Use CsvPath Framework

Python data engineers use CSVPath to validate complex CSV files with business rules that go beyond column type checking — enforcing conditional constraints (if column A has value X, column B must be non-null), cross-row lookups, and custom matching expressions. CSVPath rules are stored as text files separate from the Python pipeline code, making them auditable by non-developers.