A modern, Pydantic-based parser for REFI-QDA (.qdpx) qualitative research files.
Project description
pyrefiqda
A modern Python parser mapping REFI-QDA qualitative research files (.qdpx) to strict Pydantic models for seamless integration.
Installation
pip install pyrefiqda
Quickstart
from pyrefiqda.parser import RefiProject
# 1. Load your .qdpx file exported from your qualitative software
project = RefiProject.load("my_research.qdpx")
# 2. Access strictly-typed Pydantic objects
print(f"Project GUID: {project.guid}")
# Iterate through your codebook
for code in project.code_book.codes:
print(f"Code Name: {code.name}")
print(f"Color: {code.color}")
Why this exists
In qualitative studies, researchers use the REFI-QDA standard to exchange data. However, previous Python tools were GUI-heavy or outdated. pyrefiqda uses xsdata to auto-generate pure Pydantic models directly from the official XML schema, meaning you get flawless type-hinting, validation, and zero parsing bloat.
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