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Flyte vs Metaflow

Both stand on mlops platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Flyte

Free plan Open source APILinuxSelf-hosted+1

Pick Flyte if you want a Python-based runtime for durable AI workflows and need local or cluster deployment. The free OSS plan provides the runtime, while teams needing the listed Team capacity, retention, or support should account for the monthly minimum plus usage; Enterprise pricing is custom.

Visit Flyte

Metaflow

Free plan Open source APILinuxMac+2

Metaflow offers a path from local workflow work to deployments using cloud or Kubernetes infrastructure. The local-only setup is limited, so production scaling requires infrastructure in a cloud account or Kubernetes cluster.

Visit Metaflow

The facts

FlyteMetaflow
Free planYesYes
Open sourceYesYes
Runs onAPI, Linux, Self-hosted, WebAPI, Linux, Mac, Self-hosted, Web
Lowest paid planSee the plansFree or on request
Plans published41
MakerNot publishedNot published
Websiteflyte.orgmetaflow.org
On mlops platforms#1 of 29#2 of 29

Flyte: what it does well

  • Free Apache 2.0 runtime for local or cluster use.
  • Workflows use Python async functions and TaskEnvironment declarations.
  • Resumes failed tasks and recovers from listed infrastructure failures.
  • Supports dynamic branching, loops, and runtime decisions.
  • Integrates with serving frameworks and AI, data, and ML tools.

What to know first

  • Team costs $950 a month plus usage.
  • Team limits runs to 25,000 fanout actions and 1,000 concurrent actions.
  • Team includes one cluster and 30-day data retention.
  • Enterprise pricing is custom.

Metaflow: what it does well

  • Automatically tracks flows, experiments, and artifacts.
  • Supports local workflow construction and testing.
  • Can scale compute using cloud accounts or Kubernetes.
  • Offers several cloud and workflow integrations.

What to know first

  • Local-only setup lacks external compute scaling.
  • Local-only setup is not for production-grade deployments.
  • The Python package installation page lists macOS and Linux.

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