rds2py: R Serialization Formats in Python

rds2py is designed to parse, extract, and write R data formats (RDS and RData) directly in Python. It provides native, out-of-the-box integration with the BiocPy ecosystem, allowing seamless roundtripping of complex S4 datasets like SummarizedExperiment, SingleCellExperiment, and GenomicRanges.

This library is built on top of Aaron Lun’s rds2cpp library.

Installation

rds2py is available on PyPI:

pip install rds2py

To enable full conversion support for Bioconductor/BiocPy classes, consider installing the optional dependencies:

pip install rds2py[optional]

Table of Contents

• Overview
  • Installation
  • Quickstart
  • Type Conversion Reference
  • Developer Notes
  • Note
• Tutorial
  • 1. Basic Reading
  • 2. Basic Writing (Saving)
  • 3. Raw Dictionary Parsing (Custom Readers)
  • Type Conversion Reference
• Custom Serialization Guide
  • 1. Custom Serialization (Python -> RDS)
  • 2. Custom Deserialization (RDS -> Python)
  • 3. Full Roundtrip
• Contributions & Help
  • Issue Reports
  • Documentation Improvements
  • Code Contributions
  • Maintainer tasks
• License
• Authors
• Changelog
  • Version 0.10.0 - 0.10.1
  • Version 0.9.0 - 0.9.1
  • Version 0.8.0 - 0.8.1
  • Version 0.7.0 - 0.7.3
  • Version 0.6.1
  • Version 0.6.0
  • Version 0.5.1
  • Version 0.5.0
  • Version 0.4.5
  • Version 0.4.4
  • Version 0.4.0 - 0.4.3
  • Version 0.3.0
  • Version 0.1
• Module Reference
  • rds2py package

Indices and tables

• Index

• Module Index

• Search Page