Next-gen Python DataFrame operations for genomics!

polars-bio is a blazing fast Python DataFrame library for genomics🧬 built on top of Apache DataFusion, Apache Arrow and polars. It is designed to be easy to use, fast and memory efficient with a focus on genomics data.

Single-thread performance 🏃‍

Parallel performance 🏃‍🏃‍

Key Features

• optimized for peformance and large-scale genomics datasets
• popular genomics operations with a DataFrame API (both Pandas and polars)
• native parallel engine powered by Apache DataFusion and sequila-native
• out-of-core processing (for data too large to fit into a computer's main memory) with Apache DataFusion and polars
• zero-copy data exchange with Apache Arrow
• bioinformatics file formats with exon
• pre-built wheel packages for Linux, Windows and MacOS (arm64 and x86_64) available on PyPI