polars-bio
A Python library for blazing-fast, memory-efficient genomics data operations using DataFrames.
What is polars-bio?
polars-bio is a Python library for genomics that provides a DataFrame API for large-scale genomic interval datasets. It is built on Polars, Apache Arrow, and Apache DataFusion to deliver high performance, parallel processing, and out-of-core capabilities, making it suitable for computationally intensive bioinformatic analyses.
Bioinformaticians and computational biologists working with large genomic interval datasets who need efficient, scalable data manipulation in Python, particularly those dealing with data too large for memory or requiring high-speed operations.
Developers choose polars-bio because it is optimized as the most efficient single-node library for genomic interval DataFrames in Python, offering significant speedups over alternatives like Bioframe, along with out-of-core processing, cloud storage support, and compatibility with both Pandas and Polars DataFrames.
Overview
Blazing-Fast Bioinformatic Operations on Python DataFrames
Use Cases
Best For
- Performing fast overlap, nearest, count_overlaps, and coverage queries on large genomic interval datasets.
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