polars

What problem does it solve?

Polars is a fast, memory-efficient DataFrame library built on Apache Arrow. It enables expressive, high-performance data manipulation with lazy evaluation, making pandas migrations smoother and enabling scalable data pipelines.

Core Features & Use Cases

• Lazy and eager DataFrames with a rich expression API
• CSV/Parquet I/O, joins, group by, window functions
• Excellent pandas-migration experience with strong performance
• Out-of-core and streaming capabilities for large datasets

Quick Start

• Install: pip install polars
• Create and operate on a DataFrame import polars as pl df = pl.DataFrame({ "name": ["Alice","Bob","Charlie"], "age": [25,30,35] }) df.select("name", "age")