Column-wise type annotations for pyspark DataFrames

Typedspark provides column-wise type annotations for PySpark DataFrames, enhancing code readability, enabling static type-checking and linting, and improving auto-completion and refactoring capabilities. It helps define explicit schemas for Spark DataFrames, ensuring data integrity at a structural level. The library is currently at version 1.6.3 and maintains a regular release cadence, often driven by dependency updates.