Gtars

If you're doing computational genomics work and need to wrangle BED files, detect overlaps, or generate coverage tracks, this is a Rust-based toolkit with Python bindings that handles the performance-critical parts of your pipeline. It's built around specialized modules: IGD indexing for overlap queries, uniwig for coverage tracks, tokenizers for ML preprocessing, and reference sequence management following GA4GH refget. The real value is when you're preprocessing genomic intervals for machine learning models or need fast fragment analysis in single-cell ATAC-seq data. It underpins the geniml package, so if you're in that ecosystem you're already depending on it. The CLI handles one-off tasks well, but the Python API is where you'll spend time for custom workflows.