--- title: "airflow vs galaxy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-galaxyproject-galaxy" tools: ["apache-airflow", "galaxyproject-galaxy"] --- # airflow vs galaxy *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when license: airflow is Apache-2.0, galaxy is Other; pick galaxy when license: galaxy is Other, airflow is Apache-2.0. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [galaxy](https://galaxyproject.org) has 1.8k stars, 1.2k forks, and 2.8k open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [galaxy's repository](https://github.com/galaxyproject/galaxy). | | [airflow](/tools/apache-airflow.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | Data intensive science for everyone. | | Stars | 46,124 | 1,811 | | Forks | 17,387 | 1,158 | | Open issues | 1,728 | 2,764 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Computer Vision, Data & Retrieval | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Open issues (now) | 1.7k | 2.8k | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/galaxyproject-galaxy/trust.md) | ## Shared compatibility - **Python**: [airflow](/tools/apache-airflow.md) - Python runtime; [galaxy](/tools/galaxyproject-galaxy.md) - Python runtime ## Choose when ### Choose airflow if… - License: airflow is Apache-2.0, galaxy is Other. - Tags unique to airflow: airflow, apache, apache-airflow, automation. - Also covers AI Agents, Data & Retrieval. - airflow ships Docker support for self-hosted deployment. ### Choose galaxy if… - License: galaxy is Other, airflow is Apache-2.0. - Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest. - Also covers Model Training, Vector Databases. ## When NOT to use airflow - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use galaxy - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between airflow and galaxy? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. galaxy: Data intensive science for everyone.. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over galaxy? Choose airflow over galaxy when License: airflow is Apache-2.0, galaxy is Other; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers AI Agents, Data & Retrieval; airflow ships Docker support for self-hosted deployment. ### When should I choose galaxy over airflow? Choose galaxy over airflow when License: galaxy is Other, airflow is Apache-2.0; Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest; Also covers Model Training, Vector Databases. ### When should I avoid airflow? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid galaxy? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is airflow or galaxy more popular on GitHub? airflow has more GitHub stars (46,124 vs 1,811). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and galaxy open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, galaxy: Other). ### Where can I find alternatives to airflow or galaxy? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [galaxy alternatives](/tools/galaxyproject-galaxy/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [galaxy markdown twin](/tools/galaxyproject-galaxy/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-galaxyproject-galaxy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or galaxy? airflow: Very active. galaxy: 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 galaxy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [galaxy trust report](/tools/galaxyproject-galaxy/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/_