
Prefect
by Prefect · Python-decorator workflow orchestration for data, ML and agents
80.8 — BenchRank score out of 100
Screenshots of Prefect
Homepage Pricing page
Overview
Prefect is a workflow orchestration platform for data, ML and agents. You add @flow and @task decorators to Python functions, and the engine handles scheduling, retries, caching and crash recovery. Flows run either on Prefect Serverless managed compute or on lightweight workers inside your own Kubernetes, ECS or VPC, with the Cloud control plane handling scheduling and observability.
- Best for
- Python data and ML teams that want scheduled, self-retrying pipelines without hosting a scheduler
- Pricing
- Free Hobby tier, then $100/month for Starter and $100 per user/month for Team; Pro and Enterprise are quoted by sales.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Open-source Apache 2.0 core, same engine as Prefect Cloud
- Plain Python functions; retries and state via two decorators
- Hybrid model runs flows in your own Kubernetes, ECS or VPC
- Free tier includes scheduling, observability and alerting
Trade-offs
- No uptime SLA below Enterprise, which gets 99.9%
- Tight caps per tier: 5 deployments on Hobby, 20 on Starter
- SSO, object-level RBAC and audit logs need Pro or Enterprise
- Pro and Enterprise are billed annually and quoted by sales
Pricing
Published plans from Prefect’s own pricing page, in USD. Usage charges and add-ons may apply on top.
| Plan | Monthly | Includes |
|---|---|---|
| Hobby | — |
|
| Starter | $100per month |
|
| Team | $100per user |
|
| Pro | Contact sales |
|
| Enterprise | Contact sales |
|
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 85 out of 100
- API quality
- 60 out of 100
- Documentation
- 100 out of 100
- Agent friendliness
- 100 out of 100
- Pricing transparency
- 100 out of 100
- Changelog
- 40 out of 100
- Marketing site structure
- 85 out of 100
- Operational trust
- 60 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 85 out of 100
- Maintenance
- 100 out of 100
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