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FreemiumOpen Source
PREFECT
Workflow orchestration framework for building resilient data pipelines in Python
Apache-2.0
ABOUT
Data engineers and scientists struggle to build reliable, observable data pipelines that can handle failures, retries, and complex dependencies at scale. Prefect solves this by providing a Python-native orchestration layer that turns any script into a resilient, scheduled, and monitorable workflow without heavy infrastructure setup.
INSTALL
pip install prefectINTEGRATION GUIDE
1. Orchestrating ETL and data pipelines with retries and caching
2. Scheduling and monitoring ML training and inference workflows
3. Building event-driven automation with full observability and alerting
TAGS
dataorchestrationworkflowpipelinepythondata-engineeringml-opsobservability