--- title: "airflow vs prefect" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-prefecthq-prefect" tools: ["apache-airflow", "prefecthq-prefect"] --- # airflow vs prefect *GraphCanon updated Aug 10, 2026* ## Verdict Pick airflow if apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions; pick prefect if prefect is a Python-based workflow orchestration framework designed to create resilient data pipelines. It offers a straightforward approach to building and managing workflows using Python syntax. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 18k forks, and 1.9k open issues, last pushed Aug 9, 2026. [prefect](https://prefect.io) has 24k stars, 2.4k forks, and 821 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [prefect's repository](https://github.com/PrefectHQ/prefect). | | [airflow](/tools/apache-airflow.md) | [prefect](/tools/prefecthq-prefect.md) | | --- | --- | --- | | Tagline | A platform to programmatically author, schedule, and monitor workflows | Workflow orchestration framework for resilient data pipelines | | Stars | 46,425 | 23,541 | | Forks | 17,546 | 2,442 | | Open issues | 1,882 | 821 | | Language | Python | Python | | Adopt for | Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions. | Prefect is a Python-based workflow orchestration framework designed to create resilient data pipelines. It offers a straightforward approach to building and managing workflows using Python syntax. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [prefect](/tools/prefecthq-prefect.md) | | --- | --- | --- | | Open issues (now) | 1.9k | 821 | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/prefecthq-prefect/trust.md) | ## Shared compatibility - **Python**: [airflow](/tools/apache-airflow.md) - Python runtime; [prefect](/tools/prefecthq-prefect.md) - Python runtime ## Decision facts: airflow - **Adopt for:** Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions. ## Decision facts: prefect - **Pricing:** freemium - Prefect is initially available under an open-source license (Apache-2.0), but commercial support options are also provided for users who require additional services or features. - **Requirements:** Requires Python 3.10+ - **Adopt for:** Prefect is a Python-based workflow orchestration framework designed to create resilient data pipelines. It offers a straightforward approach to building and managing workflows using Python syntax. ## Choose when ### Choose airflow if… - Tags unique to airflow: airflow, apache, automation, dag. - If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs). - More GitHub stars (46k vs 24k) - visibility, not fit. ### Choose prefect if… - Pricing: Prefect is initially available under an open-source license (Apache-2.0), but commercial support options are also provided for users who require additional services or features.. - Requirements: Requires Python 3.10+. - Tags unique to prefect: ml-ops, observability, workflow-engine. - - When your project relies on the latest features in Python, as Prefect supports Python 3.10+ ## When NOT to use airflow - Avoid if you require Windows as the primary execution environment without using WSL2. - If your project strictly adheres to MariaDB for database management, Airflow is not recommended because it is neither tested nor supported by the tool. ## When NOT to use prefect - - If your team is already deeply invested in another language for scripting or orchestrating data pipelines (for example, if you prefer a non-Python solution), Prefect might not be the right fit - - For projects where minimal overhead and quick setup are critical, as Prefect's setup requires installing specific dependencies and adhering to its Python-based framework ## Common questions ### What is the difference between airflow and prefect? airflow: A platform to programmatically author, schedule, and monitor workflows. prefect: Workflow orchestration framework for resilient data pipelines. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over prefect? Choose airflow over prefect when Tags unique to airflow: airflow, apache, automation, dag; If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs); More GitHub stars (46k vs 24k) - visibility, not fit. ### When should I choose prefect over airflow? Choose prefect over airflow when Pricing: Prefect is initially available under an open-source license (Apache-2.0), but commercial support options are also provided for users who require additional services or features.; Requirements: Requires Python 3.10+; Tags unique to prefect: ml-ops, observability, workflow-engine; - When your project relies on the latest features in Python, as Prefect supports Python 3.10+. ### When should I avoid airflow? Avoid if you require Windows as the primary execution environment without using WSL2. If your project strictly adheres to MariaDB for database management, Airflow is not recommended because it is neither tested nor supported by the tool. ### When should I avoid prefect? - If your team is already deeply invested in another language for scripting or orchestrating data pipelines (for example, if you prefer a non-Python solution), Prefect might not be the right fit - For projects where minimal overhead and quick setup are critical, as Prefect's setup requires installing specific dependencies and adhering to its Python-based framework ### Is airflow or prefect more popular on GitHub? airflow has more GitHub stars (46,425 vs 23,541). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and prefect open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, prefect: Apache-2.0). ### Where can I find alternatives to airflow or prefect? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [prefect alternatives](/tools/prefecthq-prefect/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [prefect markdown twin](/tools/prefecthq-prefect/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/apache-airflow-vs-prefecthq-prefect.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or prefect? airflow: Very active. prefect: 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 airflow and prefect? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [prefect trust report](/tools/prefecthq-prefect/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-airflow`](/api/graphcanon/graph?tool=apache-airflow) - 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/_