Pyper

Pyper is a Python-native orchestration and scheduling framework designed for modern data workflows, machine learning pipelines, and any task that benefits from a lightweight DAG-based execution engine. Unlike heavier platforms like Airflow, Pyper aims to remain lean, modular, and developer-friendly, embracing Pythonic conventions and minimizing boilerplate. It focuses on local development ergonomics and seamless transition to production environments, making it ideal for small teams and individuals needing a programmable and flexible orchestration solution without the overhead of enterprise systems.

Features

Lightweight DAG-based workflow orchestration
Fully written and operated in native Python
Simple syntax for defining dependencies and execution order
CLI interface for running and managing workflows
Local-first development with easy testing and debugging
Environment-aware execution for production readiness
Extensible with custom operators and hooks
Ideal for ML, ETL, and data transformation tasks

Project Samples

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Stream Processing Tool

Registered

2025-04-08

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