Polars Bio

A Polars-native library for genomic interval operations that's 6-38x faster than bioframe on real-world benchmarks. Handles the usual interval arithmetic (overlap, nearest, merge, coverage, complement, subtract) plus reads and writes BED, VCF, BAM, CRAM, GFF, FASTA, and FASTQ files. Built on Apache Arrow and DataFusion, so you get streaming support for datasets that don't fit in memory and native cloud I/O for S3, GCS, and Azure. Ships with both functional and method-chaining APIs, plus a SQL interface if that's your thing. Worth trying if you're doing genomic analysis in Python and already use Polars, or if you're hitting performance walls with existing tools.

Install to Claude Code

npx -y skills add k-dense-ai/scientific-agent-skills --skill polars-bio --agent claude-code