Lightweight Tools & Datasets for Python Data Engineering

Python package specifically designed for ETL tasks, offering tools for data extraction, transformation, and loading. Suitable for simpler, script-based ETL processes.

Lightweight Extract-Transform-Load (ETL) framework for Python 3.6+. Allows writing ETL scripts in pure Python, particularly suited for simple and straightforward ETL tasks.

Fundamental library for numerical computing in Python. Supports large multi-dimensional arrays and matrices with a vast collection of mathematical functions for array operations.

Library for web scraping and parsing HTML/XML documents. Extensively used in data wrangling to clean, parse, and extract data from web sources.

Simple library for processing textual data with APIs for common NLP tasks. Essential for data wrangling when dealing with text data and natural language processing.

Lightweight and extensible data validation library supporting complex data structures with customizable validation rules. Highly flexible for various validation needs.

Validates Python data structures with straightforward syntax and clear error messages. Ensures structure and content adhere to specified schemas.

Fast, simple, and powerful validation library with declarative validation rules. Optimized for performance when validating data from various sources.

Small, expressive ORM with simple and intuitive interface. Lightweight and easy to use, perfect for small to medium-sized applications prioritizing simplicity.

Lightweight and async-ready ORM designed to work with FastAPI and Starlette. Particularly suited for applications requiring asynchronous database operations with minimal overhead and modern Python async/await patterns.