Harley contains polars helper methods that will make you more productive.

Harley is also a great way to learn about polars best practices like:

• how to validate schemas
• How to use plugins for custom polars functionality.

Harley is a polars port of Harley's sister project, Quinn.

Harley is neither associated with motorbikes 🏍️, nor the DC universe 🦸.

Features

Harley supports developer productivity functions for:

• column_functions: boolean expressions for null aware between handling, multi-equals expression evaluation, and approximate equals.
• dataframe_helpers: fast and strict small DataFrame data structure conversion.
• dataframe_validators: Strict Data/LazyFrame schema validation.
• maths: Zero-aware division.
• schema_helpers: Print your schema as python code.
• string_functions: String blankspace transformations without regex.
• to_boolean: Null & whitespace aware boolean evaluation. Many valued logic boolean assignment.
• transformations: Flatten struct types columns with reasonable performance.

Documentation

You can check out all the supported functionality in the documentation.