Skip to main content

GenomicRanges for Python.

Project description

pyranges

Introduction

Pyranges is a Python library with a Rust backend 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. It enables intuitive and highly efficient pipelines for genomic analysis.

"Finally ... This was what Python badly needed for years." - Heng Li

Version 1.x

This is version 1.x of pyranges. It is a complete rewrite of the original pyranges library, soon to replace the "default" original one (version 0). If you are a v0 user, check the migration guide in the documentation.

Documentation

The pyranges documentation, including installation instructions, API, tutorial, and how-to-pages, is available at https://pyranges1.readthedocs.io/

Recent Changelog

# 1.3.1 (15.02.26)
- require ruranges>=0.1.1
- remove fallback compatibility hack for old ruranges versions lacking `ruranges.numpy`
- add dtype support tests for unsigned/integer interval inputs (e.g. uint32 issue case)

# 1.2.0 (29.01.26)
- module name changed from pyranges to pyranges1, to allow co-existing with pyranges (v0) in same env

# 1.1.9 (26.01.26)
- pandas dependency bound to v2. This is in response to pandas 3.0.0 being released, breaking our doctests.

# 1.1.8 (30.12.25)
- to_gtf and to_gff3: fix bug where 'phase' (gtf) and 'frame' (gff3) are erroneously added to attributes field

# v1.1.7 (16.12.25)
- window_ranges: fix sort order issue in  when using by (#98 and #105)
- window_ranges: added argument add_window_id, updated documentation

Install

Pyranges 1.x requires python ≥3.12. Minimal installation:

pip install pyranges1

This installs and requires ruranges>=0.1.1 automatically.

Installation including all optional dependencies:

pip install pyranges1[all]

Details at https://pyranges1.readthedocs.io/en/latest/installation.html

Features

  • fast
  • memory-efficient
  • featureful
  • pythonic/pandastic

Paper/Cite

For v1:

Stovner EB, Ticó M, Muñoz del Campo E, Pallarès-Albanell J, Chawla K, Sætrom P, Mariotti M (2025) Pyranges v1: a Python framework for ultrafast sequence interval operations. bioRxiv 2025.12.11.693639; doi: https://doi.org/10.64898/2025.12.11.693639

For v0:

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)

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://pyranges1.readthedocs.io/developer_guide.html

Cheatsheet

cheatsheet (The cheatsheet above was created with pyrangeyes, a companion graphical library: https://pyrangeyes.readthedocs.io/)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyranges1-1.3.0.tar.gz (899.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyranges1-1.3.0-py3-none-any.whl (925.1 kB view details)

Uploaded Python 3

File details

Details for the file pyranges1-1.3.0.tar.gz.

File metadata

  • Download URL: pyranges1-1.3.0.tar.gz
  • Upload date:
  • Size: 899.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyranges1-1.3.0.tar.gz
Algorithm Hash digest
SHA256 63061402c6cc8721e020d5d26d5dd25e17925ef11a05f78778c0871e0627e955
MD5 22705cc0d8b9e4665c89d1bf90d6dacd
BLAKE2b-256 a071bf828e32c62b1ff6ebecfc7ae1664107b6e97a17ce555587550da4a313c9

See more details on using hashes here.

File details

Details for the file pyranges1-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: pyranges1-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 925.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyranges1-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9fcf365420bc25f871ba0b8db6d63dd469d4b87aef9b919bcd5481efc5022964
MD5 35e6db19ae8f2679c7eabfb023a52069
BLAKE2b-256 598b614a9a2022c4936710b9f1f307cedf3b63984050743ad43a9faf242ca148

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page