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7/16/2026
The original title is: "OMR: An Open-Source Python Library for Dataset Quality Scoring and Validation"

The original title is: "OMR: An Open-Source Python Library for Dataset Quality Scoring and Validation"

Original: Stop Writing .isnull() — Audit Your Dataset in One Line with OMR

Short summary

OMR (Omni Data Refinement) is an open-source Python library that replaces boilerplate data-quality checks with a single health() call, producing a 0-100 score across completeness, uniqueness, consistency, validity, and conformity. It also offers auto-cleaning with transformation logs, schema validation, drift detection using PSI/KS/JS divergence, and column profiling for all data types. The library requires only pandas, numpy, and rich — no cloud or LLM dependencies.

  • •OMR provides a 0-100 dataset health score across 5 quality dimensions in one call
  • •Includes auto-cleaning, schema validation, drift detection, and full-column profiling
  • •Open-source Python library with no cloud or LLM dependencies

Generated with AI, which can make mistakes.

#open-source#ai-tools
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