additory 0.1.2a1

Data augmentation and transformation library with Rust-accelerated operations and comprehensive validation

Additory v0.1.1a1

Data augmentation library with Polars backend.

Installation

pip install additory

Quick Start

import additory
import polars as pl

# Add columns from reference DataFrame
result = additory.add.to(df, reference_df, on='id', bring='price')

# Transform columns
result = additory.add.transform(df, mode='onehotencoding', columns=['category'])

# Filter data
result = additory.add.snapshot(df, where='age > 18')

# Generate synthetic data
result = additory.add.synthetic(df, rows=1000)

# Analyze data
result = additory.add.analyze(df, preset='quick')

# Evaluate expressions
result = additory.add.expressions(df, 'inbuilt:bmi')

Features

• Blazing Fast: Built on Polars for maximum performance
• Simple API: Clean, intuitive API with additory.add.function() pattern
• Flexible: Works with Polars, pandas, and cuDF
• Comprehensive: 6 main functions covering all data augmentation needs
• Well Tested: 1,023 tests with 90% coverage

Documentation

Visit https://additory.dev for full documentation.

License

MIT