🌀 Tukuy - Python Data Transformation Library

Tukuy (meaning “to transform” or “to become” in Quechua) is a powerful and extensible data transformation library that makes it easy to manipulate, validate, and extract data from various formats. With its plugin architecture, Tukuy provides a unified interface for working with text, HTML, JSON, dates, numbers, and more.

Key Features

• 🧩 Plugin System: Easily extend functionality with custom plugins

• 🔄 Chainable Transformers: Compose multiple transformations in sequence

• 🧪 Type-safe Transformations: With built-in validation

• 🔍 Pattern-based Data Extraction: Extract structured data from HTML and JSON

• 🛡️ Error Handling: Comprehensive error handling with detailed messages

Documentation

Contents:

• Getting Started
  • Installation
  • Basic Usage
  • Transformation Chains
  • Validation
  • Next Steps
• User Guide
  • Core Concepts
  • Using Transformers
  • Pattern-based Data Extraction
  • Error Handling
  • Best Practices
• Examples
  • Text Transformations
  • HTML Transformations
  • JSON Transformations
  • Date Transformations
  • Numerical Transformations
  • Validation Transformations
  • Creating Custom Transformers
  • Using Plugins
  • Real-world Use Cases
• tukuy
  • Subpackages
  • Submodules
  • tukuy.base module
  • tukuy.exceptions module
  • tukuy.types module
• Contributing
  • Getting Started
  • Development Guidelines
  • Creating a Pull Request
  • Creating New Transformers
  • Creating New Plugins
  • Release Process
  • Community Guidelines

Indices and tables

• Index

• Module Index

• Search Page