# pyranges
[](https://coveralls.io/github/biocore-ntnu/pyranges?branch=master) [](http://hypothesis.readthedocs.io/) [](https://badge.fury.io/py/pyranges) [](https://opensource.org/licenses/MIT)  [](http://bioconda.github.io/recipes/pyranges/README.html)
## Introduction
PyRanges is a Python library specifically designed for efficient and intuitive manipulation of genomics data,
particularly genomic intervals (like genes, genomic features, or reads).
The library is optimized for fast querying and manipulation of genomic annotations.
*"Finally ... This was what Python badly needed for years."* - Heng Li
## Documentation
The pyranges documentation, including installation instructions, API, tutorial, and how-to-pages, is available at <https://pyranges.readthedocs.io/>
## Features
- fast
- memory-efficient
- featureful
- pythonic/pandastic
- supports chaining with a terse syntax
- uses Pandas DataFrames, so the whole Python data science stack works on PyRanges
## Paper/Cite
Stovner EB, Sætrom P (2020) PyRanges: efficient comparison of genomic intervals in Python. *Bioinformatics 36(3):918-919* http://dx.doi.org/10.1093/bioinformatics/btz615
## Supporting pyranges
- most importantly, cite pyranges if you use it. It is the main metric funding sources care about.
- use pyranges in Stack Overflow/biostars questions and answers
- star the repo (possibly important for github visibility and as a proxy for project popularity)
- if you are a business using pyranges, please give to one of the charities listed at https://www.givewell.org/
## Asking for help
If you encounter bugs, or the documentation is not enough a cannot accomplish a specific task of interest, or if you'd like new features implemented, open an Issue at github: https://github.com/pyranges/pyranges/issues
## Contributing to pyranges
Pyranges accepts code contributions in form of pull request. For details, visit https://pyranges.readthedocs.io/developer_guide.html
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