Metadata-Version: 2.2
Name: eidos-engine
Version: 0.4.0
Summary: A scalable and flexible ETL framework for distributed data processing.
Author: Kevin Zezel Gomes, Felipe Bizzo
Project-URL: homepage, https://github.com/EidosX/eidos-engine
Project-URL: documentation, https://github.com/EidosX/eidos-engine
Project-URL: repository, https://github.com/EidosX/eidos-engine
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: deltalake>=0.24.0
Requires-Dist: jupyter>=1.1.1
Requires-Dist: logfire>=3.5.3
Requires-Dist: pandas>=2.2.3
Requires-Dist: polars>=1.22.0
Requires-Dist: tqdm>=4.67.1

Eidos Engine is a flexible and scalable framework for executing ETL processes in a distributed manner. It supports custom functions, allowing seamless integration of complex pipelines while optimizing data processing efficiently.

Key features include:
✅ Distributed Execution – Speed up processing by distributing tasks across multiple instances.
✅ Flexibility – Easily adapt pipelines by integrating custom functions effortlessly.
✅ Real-Time Logging – Monitor execution with detailed logs for easier debugging and optimization.
✅ Large-Scale Data Support – Leverage high-performance libraries like Pandas, Polars, and DeltaLake to handle massive datasets.

Whether for on-demand processing or continuous pipelines, Eidos Engine provides a robust and adaptable solution for any ETL workflow. 🚀
