Comparison
airflow vs dbos-transact-py
Verdict
Pick airflow when license: airflow is Apache-2.0, dbos-transact-py is MIT; pick dbos-transact-py when license: dbos-transact-py is MIT, airflow is Apache-2.0.
Markdown twin · airflow alternatives · dbos-transact-py alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | airflow | dbos-transact-py |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of today · 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
- Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- dbos-transact-py
- Database-Backed Durable Python Workflows
Stars
- airflow
- 46k
- dbos-transact-py
- 1.5k
Forks
- airflow
- 17k
- dbos-transact-py
- 80
Open issues
- airflow
- 1.7k
- dbos-transact-py
- 6
Language
- airflow
- Python
- dbos-transact-py
- Python
Adopt for
- airflow
- -
- dbos-transact-py
- -
Persona
- airflow
- -
- dbos-transact-py
- -
Runtime
- airflow
- -
- dbos-transact-py
- -
License
- airflow
- Apache-2.0
- dbos-transact-py
- MIT
Last pushed
- airflow
- Jul 15, 2026
- dbos-transact-py
- Jul 15, 2026
Categories
- airflow
- AI Agents, Computer Vision, Data & Retrieval
- dbos-transact-py
- AI Agents
Trust and health
Open issues (now)
- airflow
- 1.7k
- dbos-transact-py
- 6
Full report
- airflow
- Trust report
- dbos-transact-py
- Trust report
Choose airflow if…
- License: airflow is Apache-2.0, dbos-transact-py 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 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.
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, dbos, durable-execution.
- Leaner open-issue backlog (6).
When NOT to use dbos-transact-py
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (apache/airflow) · observed Jul 15, 2026
- GitHub forks (apache/airflow) · observed Jul 15, 2026
- Last push (apache/airflow) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (dbos-inc/dbos-transact-py) · observed Jul 15, 2026
- GitHub forks (dbos-inc/dbos-transact-py) · observed Jul 15, 2026
- Last push (dbos-inc/dbos-transact-py) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: airflow 46k · dbos-transact-py 1.5k (synced Jul 15, 2026).
Common questions
- What is the difference between airflow and dbos-transact-py?
- airflow: Apache 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, apache-airflow, automation; Also covers Computer Vision, Data & Retrieval; airflow ships Docker support for self-hosted deployment.
- 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, dbos, durable-execution; Leaner open-issue backlog (6).
- 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-py?
- 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-py more popular on GitHub?
- airflow has more GitHub stars (46,124 vs 1,475). 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.