Prefect
ML workflow orchestration
0 case studies
Data Dev Framework ML workflow orchestration
Prefect is used to orchestrate ML and data workflows with automatic retry logic, scheduling, caching, and observability. It turns Python functions into observable, resilient tasks that can run on any infrastructure, making it popular for recurring model training jobs, data pipelines, and batch inference workflows.
Install with `pip install prefect` and decorate your functions with `@task` and `@flow`. Run your flow locally to see results in the Prefect UI at `prefect server start`. For production scheduling and monitoring, sign up at app.prefect.cloud and deploy flows with `flow.serve()` or `flow.deploy()`.
$ pip install prefect` and decorate your functions with `@task` and `@flow` Be the first to share a Prefect case study and get discovered by clients.
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