Documentation
EazyDataFix is a small, opinionated Python library for data quality assessment and automated cleaning. Start with the guides below or jump into the API reference.
Installation
EazyDataFix is on PyPI and supports Python 3.9+. Install with pip in the environment of your choice — a virtualenv is recommended.
$ pip install eazydatafixQuick Start
Run edf.assess() to understand your dataset, then edf.fix() to apply the cleaning pipeline. See the quick start guide for a full walkthrough.
Core APIs
Three public functions cover the entire cleaning surface:
edf.assess()— dataset quality report.edf.fix()— opinionated auto-cleaning pipeline.edf.profile()— column-level profiling.
Examples
The Examples gallery walks through seven realistic datasets — CSV, Excel, HR, healthcare and more.
Roadmap
v0.2 adds JSON, Parquet and SQLite connectors. v0.3 introduces AI-assisted cleaning. Read the full roadmap.
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Getting Started