--- title: "airflow vs dbos-transact-ts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-dbos-inc-dbos-transact-ts" tools: ["apache-airflow", "dbos-inc-dbos-transact-ts"] --- # airflow vs dbos-transact-ts *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when airflow is primarily Python; dbos-transact-ts is TypeScript; pick dbos-transact-ts when dbos-transact-ts is primarily TypeScript; airflow is Python. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [dbos-transact-ts](https://docs.dbos.dev) has 1.3k stars, 83 forks, and 8 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [dbos-transact-ts's repository](https://github.com/dbos-inc/dbos-transact-ts). | | [airflow](/tools/apache-airflow.md) | [dbos-transact-ts](/tools/dbos-inc-dbos-transact-ts.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | Database-Backed Durable TypeScript Workflows | | Stars | 46,124 | 1,276 | | Forks | 17,387 | 83 | | Open issues | 1,728 | 8 | | Language | Python | TypeScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Computer Vision, Data & Retrieval | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [dbos-transact-ts](/tools/dbos-inc-dbos-transact-ts.md) | | --- | --- | --- | | Open issues (now) | 1.7k | 8 | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/dbos-inc-dbos-transact-ts/trust.md) | ## Choose when ### Choose airflow if… - airflow is primarily Python; dbos-transact-ts is TypeScript. - License: airflow is Apache-2.0, dbos-transact-ts is MIT. - Tags unique to airflow: airflow, apache, apache-airflow, automation. - Also covers Computer Vision, Data & Retrieval. - airflow ships Docker support for self-hosted deployment. ### Choose dbos-transact-ts if… - dbos-transact-ts is primarily TypeScript; airflow is Python. - License: dbos-transact-ts is MIT, airflow is Apache-2.0. - Tags unique to dbos-transact-ts: agentic-workflow, cronjob-scheduler, dbos, durable-execution. ## 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 dbos-transact-ts - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between airflow and dbos-transact-ts? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. dbos-transact-ts: Database-Backed Durable TypeScript Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over dbos-transact-ts? Choose airflow over dbos-transact-ts when airflow is primarily Python; dbos-transact-ts is TypeScript; License: airflow is Apache-2.0, dbos-transact-ts is MIT; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers Computer Vision, Data & Retrieval; airflow ships Docker support for self-hosted deployment. ### When should I choose dbos-transact-ts over airflow? Choose dbos-transact-ts over airflow when dbos-transact-ts is primarily TypeScript; airflow is Python; License: dbos-transact-ts is MIT, airflow is Apache-2.0; Tags unique to dbos-transact-ts: agentic-workflow, cronjob-scheduler, dbos, durable-execution. ### 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 dbos-transact-ts? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is airflow or dbos-transact-ts more popular on GitHub? airflow has more GitHub stars (46,124 vs 1,276). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and dbos-transact-ts open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, dbos-transact-ts: MIT). ### Where can I find alternatives to airflow or dbos-transact-ts? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [dbos-transact-ts alternatives](/tools/dbos-inc-dbos-transact-ts/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [dbos-transact-ts markdown twin](/tools/dbos-inc-dbos-transact-ts/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-dbos-inc-dbos-transact-ts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or dbos-transact-ts? airflow: Very active. dbos-transact-ts: 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 dbos-transact-ts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [dbos-transact-ts trust report](/tools/dbos-inc-dbos-transact-ts/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/_