Data transfer utilities between files and databases
Project description
Easy Data Loader 🚀
Easy Data Loader is a flexible, modular Python library designed to streamline ETL (Extract, Transform, Load) processes between various data sources (CSV, Excel, Parquet) and SQL databases (MSSQL, PostgreSQL, and others).
✨ Key Features
- Declarative Configuration: Manage connections and pipelines through simple python files and
.envresources. - Integrated CLI: Initialize a standardized project structure with a single command.
- Custom Transformation Hooks: Inject your own Pandas transformation logic directly into the pipeline execution.
- Performance Optimized: Built-in support for chunked loading and writing to handle large datasets efficiently.
- Extensible Architecture: Uses a Factory Pattern for database connectors, making it easy to support new drivers.
📦 Installation
Install directly via pip or uv:
pip install easy_data_loader
🚀 Getting Started
- Initialize a new project structure to generate template configurations:
easy-loader init - Review the generated
config/folders for sample resources and pipelines. - Run all discovered pipelines across the active configurations:
easy-loader run_all
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