Home/Compare/airflow vs dbos-transact-py

Comparison

airflow vs dbos-transact-py

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 dbos-transact-py if supports Python-based workflows and microservice orchestrations backed by PostgreSQL and SQLite databases for durable execution.

Markdown twin · airflow alternatives · dbos-transact-py alternatives

GraphCanon updated Sep 20, 2026

8views this month

airflow logo

airflow

apache/airflow

47kpushed Sep 14, 2026
vs
dbos-transact-py logo

dbos-transact-py

dbos-inc/dbos-transact-py

1.6kpushed Sep 19, 2026

Trust & integrity

Signalairflowdbos-transact-py
Maintenance
Very active (0d since push)
As of Sep 14, 2026 · github_public_v1
Very active (0d since push)
As of Sep 19, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 14, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

airflow
A platform to programmatically author, schedule, and monitor workflows
dbos-transact-py
Database-Backed Durable Python Workflows

Stars

airflow
47k
dbos-transact-py
1.6k

Forks

airflow
18k
dbos-transact-py
95

Open issues

airflow
2.1k
dbos-transact-py
4

Language

airflow
Python
dbos-transact-py
Python

Adopt for

airflow
Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions.
dbos-transact-py
Supports Python-based workflows and microservice orchestrations backed by PostgreSQL and SQLite databases for durable execution.

Persona

airflow
-
dbos-transact-py
-

Runtime

airflow
-
dbos-transact-py
-

License

airflow
Apache-2.0
dbos-transact-py
MIT

Last pushed

airflow
Sep 14, 2026
dbos-transact-py
Sep 19, 2026

Categories

airflow
Developer Tools
dbos-transact-py
Developer Tools

Trust and health

Open issues (now)

airflow
2.1k
dbos-transact-py
4

Stars delta

airflow
+419 (30d)
dbos-transact-py
+60 (30d)

Open issues delta

airflow
+262 (30d)
dbos-transact-py
-4 (30d)

Full report

dbos-transact-py
Trust report

Shared compatibility

  • Python · airflow: Python runtime · dbos-transact-py: Python runtime

Choose airflow if…

  • License: airflow is Apache-2.0, dbos-transact-py is MIT.
  • Tags unique to airflow: airflow, apache, automation, dag.
  • airflow ships Docker support for self-hosted deployment.
  • If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs).

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.

Choose dbos-transact-py if…

  • License: dbos-transact-py is MIT, airflow is Apache-2.0.
  • Tags unique to dbos-transact-py: agentic-workflow, cronjob-scheduler, durable-execution, microservice-orchestration.
  • For projects requiring database-backed reliable workflow executions in Python

When NOT to use dbos-transact-py

  • If your project uses a database other than PostgreSQL or SQLite
  • Projects needing non-Python script-based workflow orchestrations

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: airflow 47k · dbos-transact-py 1.6k (synced Sep 20, 2026).

Common questions

What is the difference between airflow and dbos-transact-py?
airflow: A platform to programmatically author, schedule, and monitor workflows. dbos-transact-py: Database-Backed Durable Python Workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose airflow over dbos-transact-py?
Choose airflow over dbos-transact-py when License: airflow is Apache-2.0, dbos-transact-py is MIT; Tags unique to airflow: airflow, apache, automation, dag; airflow ships Docker support for self-hosted deployment; If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs).
When should I choose dbos-transact-py over airflow?
Choose dbos-transact-py over airflow when License: dbos-transact-py is MIT, airflow is Apache-2.0; Tags unique to dbos-transact-py: agentic-workflow, cronjob-scheduler, durable-execution, microservice-orchestration; For projects requiring database-backed reliable workflow executions in Python.
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 dbos-transact-py?
If your project uses a database other than PostgreSQL or SQLite Projects needing non-Python script-based workflow orchestrations
Is airflow or dbos-transact-py more popular on GitHub?
airflow has more GitHub stars (46,844 vs 1,579). Stars measure visibility, not whether either tool fits your constraints.
Are airflow and dbos-transact-py open source?
Yes - both are open-source projects on GitHub (airflow: Apache-2.0, dbos-transact-py: MIT).
Where can I find alternatives to airflow or dbos-transact-py?
GraphCanon lists graph-backed alternatives at airflow alternatives and dbos-transact-py alternatives (airflow markdown twin, dbos-transact-py markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, airflow or dbos-transact-py?
airflow: Very active. dbos-transact-py: 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-py?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; dbos-transact-py trust report.

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