Prefect
Python-native orchestration for data and ML workflows
Prefect is profiled here as a DevOps tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Prefect is an open-source workflow orchestration framework from Prefect Technologies, founded by Jeremiah Lowin in 2018. Decorating ordinary Python functions as tasks and flows turns existing scripts into orchestrated pipelines with retries, caching, and scheduling, so teams add orchestration without rewriting their logic around a rigid DAG. A hybrid execution model keeps code and data on the team's infrastructure while Prefect Cloud handles scheduling, run history, and coordination. Event-driven automations trigger flows from external signals and raise alerts when a run fails or takes longer than expected.
Key Capabilities:
Flows and tasks defined with Python decorators
Dynamic, runtime-determined workflows without static DAGs
Automatic retries, caching, and failure handling
Scheduling with event and webhook triggers
Hybrid execution that keeps data on the team's infrastructure
Apache 2.0 core with the managed Prefect Cloud
Alternative tools
- Temporal
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- OpenTelemetry
Vendor-neutral standard for traces, metrics, and logs
- Prometheus
Open-source metrics monitoring and time-series database
- Grafana
Open-source dashboards and visualization for all your metrics
- Porter
Platform-as-a-service that runs in your own cloud account
- Kamal
Deploy containerized apps to your own servers