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Netflix/maestro

Maestro: Netflix’s Workflow Orchestrator observed · 2026-08-28

github.com/Netflix/maestro · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

69/100

  • Activity 99
  • Release rhythm 35
  • Longevity 62

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 869
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3829 stars · 307 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Netflix Maestro is a general-purpose workflow orchestrator providing workflow-as-a-service for data, ML, and software pipelines. It schedules DAG-based workflows at massive scale, handling hundreds of thousands of workflows and millions of jobs daily.

Use cases

  • orchestrate ETL and ELT data pipelines as DAGs
  • schedule machine learning and MLOps workflows
  • run batch processing jobs on a schedule
  • manage workflow dependencies and triggers at scale
  • orchestrate agentic workflows
  • self-host a workflow-as-a-service platform

When to choose

  • you need proven, large-scale workflow orchestration used in production at Netflix
  • you want a scalable DAG scheduler for data and ML pipelines
  • you need a workflow engine with strict SLOs and high throughput

When to avoid

  • you need a lightweight single-machine cron replacement
  • your team is not comfortable running Java/Spring services
  • you want a simple UI-first orchestrator with minimal setup

Facets

service · maturity active

workflow-automation scheduling etl big-data machine-learning developer-tools jvm cloud self-hosted workflow-orchestrator dag waas data-pipelines mlops scheduler elt batch-processing data-engineering automation docker web-server

2 sources

Member repositories

RepositoryRoleHealth v2
Netflix/maestromain69

For agents

markdown · JSON · MCP: product_card(name="Netflix/maestro")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem