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vs
Metaflow logo

Luigi vs Metaflow

A side-by-side comparison of Luigi and Metaflow across 26 workflow orchestration capabilities. Luigi fully supports 7 of them and Metaflow fully supports 12; of the 12 mandatory features, Luigi covers 6 and Metaflow covers 9.

Luigi

Luigi is an open-source Python package from Spotify for building complex pipelines of batch jobs, handling dependency resolution, workflow management and visualization.

Features fully supported7 / 26
Mandatory features: 6 / 12View profile

Metaflow

Metaflow is an open-source Python framework, originally developed at Netflix, for building and operating ML and data science workflows from prototype to production.

Features fully supported12 / 26
Mandatory features: 9 / 12View profile

Feature comparison

17 of 26 capabilities differ between Luigi and Metaflow.

Change tools
CapabilityLuigiMetaflow
DAG-based workflow definition
Define dependencies and execution order
Mandatory
YesYes
Code-first workflows
Versionable, testable workflows
Mandatory
YesYes
Declarative workflow model
Predictability, reproducibility
Mandatory
NoPartial
Task dependency resolution
Correct execution order
Mandatory
YesYes
Persistent workflow state
Crash recovery, observability
Mandatory
PartialYes
Task retries
Handle transient failures
Mandatory
YesYes
Retry policies (backoff, limits)
Avoid cascading failures
Recommended
NoPartial
Scheduling (cron / time-based)
Automated recurring workflows
Depends
YesPartial
Event-driven execution
React to external systems
Depends
NoPartial
Backfills / replays
Reprocess historical data
Depends
NoPartial
Idempotency support
Safe retries & replays
Mandatory
NoPartial
Exactly-once semantics
Correctness for business workflows
Optional
NoNo
Long-running workflows (days/months)
Business processes, approvals
Depends
NoPartial
Human-in-the-loop steps
Approvals, manual actions
Optional
NoNo
Dynamic workflows at runtime
Conditional execution
Depends
NoPartial
Workflow versioning
Safe evolution over time
Recommended
NoYes
Distributed execution
Scalability
Mandatory
YesYes
High availability scheduler
Production reliability
Recommended
NoPartial
Fault-tolerant execution
Crash safety
Mandatory
NoPartial
Observability (logs, states, UI)
Debugging & ops
Mandatory
PartialYes
Workflow-level visibility
Understand end-to-end runs
Mandatory
PartialYes
Task isolation
Failure containment
Mandatory
YesYes
Native Kubernetes support
Modern infra compatibility
Depends
NoYes
Multi-language SDKs
Polyglot systems
Optional
NoPartial
Deterministic replay
Safe recovery & correctness
Optional
NoNo
Pluggable execution backends
Flexibility
Recommended
NoYes

* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.

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Learn more

Read the full profiles, including pros and cons, installation and alternatives.