Prefect – Python Workflow Orchestrator for Data, ML & Agent Jobs | Quasa.io

#Quasa #QUA #Prefect

Prefect is a Python workflow orchestrator for data, machine learning, and agent jobs. You write a flow as a normal function, add a decorator, and Prefect handles state, retries, logs, and schedules. The open-source server is free to self-host. Prefect Cloud is the managed control plane: deployments, work pools, automations, and a run timeline. Flows run on your Kubernetes, ECS, or VPC, or on Prefect Serverless. Hobby is free for 2 users, 5 deployments, and 500 serverless minutes. Starter is $100 a month. Team is $100 per user with a 4-user floor. Enterprise adds SSO, RBAC, and PrivateLink. Horizon is a separate managed MCP layer for agents, not the orchestrator itself.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Flows stay plain Python, not a new DSL
• Retries, caching, and schedules without a custom runner
• Hybrid: control plane in Cloud, work on your cluster
• Events and automations, not only cron
• No per-run tax on the published Cloud plans  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
Data and ML teams who outgrew cron and scripts, and want visibility without standing up Airflow.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Open-source server plus Cloud on the same model
• Serverless pools for short jobs
• Webhooks, alerts, and SLA-style automations
• Error summaries on Cloud runs
• Seat pricing with included compute minutes  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Team’s real floor is about $400 a month
• Hobby caps deployments, users, and retention
• You still own the worker and the secrets
• Horizon is a different product from Cloud
• A green run is not a correct result  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.3/5 stars. Use Prefect when the job is “this Python should run, retry, and be visible.” Do not buy it to replace the warehouse. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/prefect

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