Manage data processes with Python
Prefect is a workflow orchestration framework used to create Python-based data pipelines. Designed to develop resilient data processes, this tool enables management and monitoring of complex data workflows.
Updates
- September 15, 2026: Stars 23,774 → 23,842, latest release 3.8.6 (September 14, 2026).
- September 4, 2026: Stars 23,696 → 23,774, latest release 3.8.5 (September 3, 2026).
- August 27, 2026: Stars 23,629 → 23,696, latest release 3.8.4 (August 25, 2026).
- August 15, 2026: Stars 23,572 → 23,629, latest release 3.8.3 (August 13, 2026).
What you get
- Moving data pipelines to production level
- Error handling and automatic retry
- Visually monitor workflows
Installation
pip install -U prefectuv add prefectRunning it
prefect server startIf you don't write code
I want to automate my data workflows using Python. Help me create a simple data pipeline using the flow and task decorators from the Prefect library. Explain with sample codes how I can integrate error management, scheduling and monitoring features, and how I can turn a Python file into a production-level workflow.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-13: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.