axiombraid 1.0.1

Explainable, safety-first data quality, validation, cleaning, and drift analysis.

AxiomBraid

Explainable, safety-first data quality for Python.

AxiomBraid inspects, validates, cleans, compares, and monitors tabular datasets while keeping automated changes conservative and visible.

import axiombraid as AB

result = AB.inspect("students.csv")
AB.report("students.csv")

cleaned = AB.clean("students.csv", risk="low")
AB.export_html("students.csv", "reports/students.html", theme="dark")

Why AxiomBraid?

• Detects missing values, duplicates, constant columns, identifiers, outliers, invalid ranges, text inconsistencies, and date-like text.
• Produces transparent dataset and column quality scores.
• Uses preview-first, risk-classified, reversible cleaning.
• Supports contracts, fingerprints, leakage screening, drift history, streaming CSV profiling, caching, plugins, parallel batch analysis, CLI usage, and Roman Urdu output.
• Does not silently delete outliers, clip invalid values, drop identifiers, or mutate input DataFrames through the functional API.

Installation

Install the stable release from PyPI:

pip install axiombraid

On Windows:

py -m pip install axiombraid

Optional chart support:

pip install "axiombraid[charts]"

Development installation

git clone https://github.com/Adil307/AxiomBraid.git
cd AxiomBraid
pip install -e ".[dev]"

Stable API

import axiombraid as AB

df = AB.read_csv("data.csv")
inspection = AB.inspect(df)
validation = AB.validate(df, contract)
comparison = AB.compare(old_df, new_df)
drift = AB.detect_drift(old_df, new_df)

Advanced use:

guide = AB.Guide("data.csv")
guide.report()
guide.cleaning_plan()
guide.export_json("report.json")
guide.export_html("report.html")

Diagnostics

print(AB.about())
print(AB.self_check())

Command line

axiombraid inspect data.csv
axiombraid batch datasets --output reports --workers 4 --format json --format html
axiombraid stream large.csv --chunksize 100000 --sample-rows 50000
python -m axiombraid --version

Stability

Version 1.0 marks the supported public API. AxiomBraid follows semantic versioning: compatible features and fixes belong in 1.x; incompatible public API changes require 2.0.

The old dataguidepy namespace and dataguide CLI were deprecated in 0.9 and are not shipped in 1.0. See docs/MIGRATION_FROM_DATAGUIDEPY.md.

Development

py -m pytest
py -m pytest --cov=axiombraid
py benchmarks\benchmark_release.py

License: MIT.