https://github.com/biodatageeks/polars-bio

Blazing fast bioinformatic operations on Python DataFrames
https://github.com/biodatageeks/polars-bio

arrow bioinformatics dataframes datafusion genomic-intervals genomic-ranges genomics pandas polars rust-lang

Last synced: about 1 month ago
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Blazing fast bioinformatic operations on Python DataFrames

• Host: GitHub
• URL: https://github.com/biodatageeks/polars-bio
• Owner: biodatageeks
• License: apache-2.0
• Created: 2024-11-26T16:58:18.000Z (2 months ago)
• Default Branch: master
• Last Pushed: 2024-12-27T12:49:54.000Z (about 1 month ago)
• Last Synced: 2024-12-27T13:36:57.586Z (about 1 month ago)
• Topics: arrow, bioinformatics, dataframes, datafusion, genomic-intervals, genomic-ranges, genomics, pandas, polars, rust-lang
• Language: Jupyter Notebook
• Homepage: http://biodatageeks.org/polars-bio/
• Size: 5.75 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-polars - polars-bio - Polars plugin for large-scale genomic analyses which is easy to use and considerable faster and more scalabe than existing alternatives by [@biodatageeks](https://github.com/biodatageeks). (Libraries/Packages/Scripts / Polars plugins)

README

        
# polars-bio - Next-gen Python DataFrame operations for genomics!

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![logo](docs/assets/logo-large.png)

[polars-bio](https://pypi.org/project/polars-bio/) is a Python library for genomics built on top of [polars](https://pola.rs/), [Apache Arrow](https://arrow.apache.org/) and [Apache DataFusion](https://datafusion.apache.org/).

It provides a DataFrame API for genomics data and is designed to be blazing fast, memory efficient and easy to use.

Read the [documentation](https://biodatageeks.github.io/polars-bio/)