pyranges1 1.3.6

GenomicRanges for Python.

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

# 1.3.6 (27.03.26)
- require `ruranges>=0.1.3`
- pick up the `ruranges` fix for `contained_intervals_only=True` overlaps when intervals share the same start coordinate
- fix `merge_overlaps` docs to refer to `count_col` instead of a nonexistent `count` parameter

# 1.3.5 (18.03.26)
- move GTF reading and attribute parsing onto the new `gtfreader>=0.2.0` dependency
- preserve semicolons inside quoted GTF attributes and keep duplicate quoted attributes in `to_rows_keep_duplicates`
- read GTF `Source` and `Frame` columns as categorical dtypes
- update GTF docs and doctests to reflect the new categorical display and supported duplicate-attribute format
- speed up GTF parsing

# 1.3.4 (14.03.26)
- accept ; in quotes in gtf attrs
- also speed up gtf parsing

# 1.3.3 (13.03.26)
- nearest_ranges: treat touching intervals as nearest matches with distance 1 instead of overlapping matches
- document touching-interval nearest behavior in doctests

# 1.3.2 (27.02.26)
- pandas 3 compatibility: removed pandas<3 constraint and aligned test matrix/dependencies
- update doctests/unit test expectations to pandas 3 native formatting (including `str` dtype display)
- remove dtype display normalization workaround in table rendering
- fix pandas 3 copy-on-write/read-only array issue in coverage path used by bigwig/rle conversion
- improve groupby `prod` compatibility across pandas 2/3 edge cases

Install

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

pip install pyranges1

This installs and requires ruranges>=0.1.3 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

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