--- title: "workflow vs maestro" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/durable-workflow-workflow-vs-netflix-maestro" tools: ["durable-workflow-workflow", "netflix-maestro"] --- # workflow vs maestro *GraphCanon updated Sep 20, 2026* ## Verdict Pick workflow if core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration; pick maestro if maestro is Netflix's workflow orchestrator built to manage complex workflows and data pipelines using advanced scheduling and automation features. [workflow](https://durable-workflow.com) reports 1.2k GitHub stars, 79 forks, and 6 open issues, last pushed Sep 12, 2026. [maestro](https://maestro-doc.github.io) has 3.8k stars, 311 forks, and 59 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [workflow's repository](https://github.com/durable-workflow/workflow) and [maestro's repository](https://github.com/Netflix/maestro). | | [workflow](/tools/durable-workflow-workflow.md) | [maestro](/tools/netflix-maestro.md) | | --- | --- | --- | | Tagline | Core package for defining and running durable workflows including support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. | Netflix's Workflow Orchestrator | | Stars | 1,246 | 3,836 | | Forks | 79 | 311 | | Open issues | 6 | 59 | | Language | PHP | Java | | Adopt for | Core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. | Maestro is Netflix's workflow orchestrator built to manage complex workflows and data pipelines using advanced scheduling and automation features. | | Persona | - | - | | Runtime | - | - | | License | MIT | Maestro is licensed under the Apache-2.0 license, allowing wide usage but with an 'AS IS' basis and no warranties or conditions stated. | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [workflow](/tools/durable-workflow-workflow.md) | [maestro](/tools/netflix-maestro.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 0d | | Open issues (now) | 6 | 59 | | Stars delta | +15 (30d) | +24 (30d) | | Open issues delta | +6 (30d) | +25 (30d) | | Full report | [trust report](/tools/durable-workflow-workflow/trust.md) | [trust report](/tools/netflix-maestro/trust.md) | ## Shared compatibility - **Python**: [workflow](/tools/durable-workflow-workflow.md) - Python runtime; [maestro](/tools/netflix-maestro.md) - Python runtime ## Decision facts: workflow - **Adopt for:** Core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. ## Decision facts: maestro - **Requirements:** To install Maestro, ensure you have pip available to run `pip install maestro-sdk`, which is required for initiating use. - **Adopt for:** Maestro is Netflix's workflow orchestrator built to manage complex workflows and data pipelines using advanced scheduling and automation features. - **License detail:** Maestro is licensed under the Apache-2.0 license, allowing wide usage but with an 'AS IS' basis and no warranties or conditions stated. ## Choose when ### Choose workflow if… - workflow is primarily PHP; maestro is Java. - License: workflow is MIT, maestro is Apache-2.0. - Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions. - When your project requires handling long_running persistent workflows in PHP ### Choose maestro if… - maestro is primarily Java; workflow is PHP. - License: maestro is Apache-2.0, workflow is MIT. - Requirements: To install Maestro, ensure you have pip available to run `pip install maestro-sdk`, which is required for initiating use.. - Tags unique to maestro: agentic-workflow, analytics, automation, batch-processing. - When your team requires support for complex workflows specifically enhanced by Netflix's engineering expertise, Maestro offers a tailored solution. ## When NOT to use workflow - If you prefer tools not anchored in PHP for workflow management - When project requirements do not include orchestration capabilities for microservices or sagas - For simpler workflows that do not require advanced retry mechanisms and parallel execution features ## When NOT to use maestro - Avoid using Maestro if your project requires lightweight solutions or integrates tightly with tools from other big tech firms with conflicting ecosystem priorities. - Do not opt for Maestro if you need a tool without significant dependencies on Java, as it might complicate setups for teams working in a less Java-centric environment. ## Common questions ### What is the difference between workflow and maestro? workflow: Core package for defining and running durable workflows including support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration.. maestro: Netflix's Workflow Orchestrator. See the comparison table for live GitHub stats and shared categories. ### When should I choose workflow over maestro? Choose workflow over maestro when workflow is primarily PHP; maestro is Java; License: workflow is MIT, maestro is Apache-2.0; Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions; When your project requires handling long_running persistent workflows in PHP. ### When should I choose maestro over workflow? Choose maestro over workflow when maestro is primarily Java; workflow is PHP; License: maestro is Apache-2.0, workflow is MIT; Requirements: To install Maestro, ensure you have pip available to run `pip install maestro-sdk`, which is required for initiating use.; Tags unique to maestro: agentic-workflow, analytics, automation, batch-processing; When your team requires support for complex workflows specifically enhanced by Netflix's engineering expertise, Maestro offers a tailored solution. ### When should I avoid workflow? If you prefer tools not anchored in PHP for workflow management When project requirements do not include orchestration capabilities for microservices or sagas For simpler workflows that do not require advanced retry mechanisms and parallel execution features ### When should I avoid maestro? Avoid using Maestro if your project requires lightweight solutions or integrates tightly with tools from other big tech firms with conflicting ecosystem priorities. Do not opt for Maestro if you need a tool without significant dependencies on Java, as it might complicate setups for teams working in a less Java-centric environment. ### Is workflow or maestro more popular on GitHub? maestro has more GitHub stars (3,836 vs 1,246). Stars measure visibility, not whether either tool fits your constraints. ### Are workflow and maestro open source? Yes - both are open-source projects on GitHub (workflow: MIT, maestro: Apache-2.0). ### Where can I find alternatives to workflow or maestro? GraphCanon lists graph-backed alternatives at [workflow alternatives](/tools/durable-workflow-workflow/alternatives) and [maestro alternatives](/tools/netflix-maestro/alternatives) ([workflow markdown twin](/tools/durable-workflow-workflow/alternatives.md), [maestro markdown twin](/tools/netflix-maestro/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/durable-workflow-workflow-vs-netflix-maestro.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, workflow or maestro? workflow: Active. maestro: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for workflow and maestro? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [workflow trust report](/tools/durable-workflow-workflow/trust); [maestro trust report](/tools/netflix-maestro/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=durable-workflow-workflow`](/api/graphcanon/graph?tool=durable-workflow-workflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_