Comparison
airflow vs astron-rpa
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 astron-rpa if astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance.
Markdown twin · airflow alternatives · astron-rpa alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | airflow | astron-rpa |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 14, 2026 · github_public_v1 | Very active (4d since push) As of Sep 20, 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 20, 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
- astron-rpa
- Agent-ready RPA suite with automation tools for various environments
Stars
- airflow
- 47k
- astron-rpa
- 5.5k
Forks
- airflow
- 18k
- astron-rpa
- 598
Open issues
- airflow
- 2.1k
- astron-rpa
- 58
Language
- airflow
- Python
- astron-rpa
- 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.
- astron-rpa
- astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance.
Persona
- airflow
- -
- astron-rpa
- -
Runtime
- airflow
- -
- astron-rpa
- -
License
- airflow
- Apache-2.0
- astron-rpa
- Apache-2.0
Last pushed
- airflow
- Sep 14, 2026
- astron-rpa
- Sep 16, 2026
Categories
- airflow
- Developer Tools
- astron-rpa
- AI Agents, Developer Tools
Trust and health
Days since push
- airflow
- 0d
- astron-rpa
- 4d
Open issues (now)
- airflow
- 2.1k
- astron-rpa
- 58
Stars delta
- airflow
- +419 (30d)
- astron-rpa
- -268 (30d)
Open issues delta
- airflow
- +262 (30d)
- astron-rpa
- +15 (30d)
Full report
- airflow
- Trust report
- astron-rpa
- Trust report
Shared compatibility
- Python · airflow: Python runtime · astron-rpa: Python runtime
Choose airflow if…
- Tags unique to airflow: airflow, apache, dag, data-engineering.
- 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 astron-rpa if…
- Tags unique to astron-rpa: agent, ai, astron, data-privacy.
- Also covers AI Agents.
- For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.
When NOT to use astron-rpa
- If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language.
- For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration.
- When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.
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 Sep 20, 2026
- GitHub forks (apache/airflow) · observed Sep 20, 2026
- Last push (apache/airflow) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (iflytek/astron-rpa) · observed Sep 20, 2026
- GitHub forks (iflytek/astron-rpa) · observed Sep 20, 2026
- Last push (iflytek/astron-rpa) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: airflow 47k · astron-rpa 5.5k (synced Sep 20, 2026).
Common questions
- What is the difference between airflow and astron-rpa?
- airflow: A platform to programmatically author, schedule, and monitor workflows. astron-rpa: Agent-ready RPA suite with automation tools for various environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose airflow over astron-rpa?
- Choose airflow over astron-rpa when Tags unique to airflow: airflow, apache, dag, data-engineering; 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 astron-rpa over airflow?
- Choose astron-rpa over airflow when Tags unique to astron-rpa: agent, ai, astron, data-privacy; Also covers AI Agents; For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.
- 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 astron-rpa?
- If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language. For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration. When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.
- Is airflow or astron-rpa more popular on GitHub?
- airflow has more GitHub stars (46,844 vs 5,542). Stars measure visibility, not whether either tool fits your constraints.
- Are airflow and astron-rpa open source?
- Yes - both are open-source projects on GitHub (airflow: Apache-2.0, astron-rpa: Apache-2.0).
- Where can I find alternatives to airflow or astron-rpa?
- GraphCanon lists graph-backed alternatives at airflow alternatives and astron-rpa alternatives (airflow markdown twin, astron-rpa 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 astron-rpa?
- airflow: Very active. astron-rpa: 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 astron-rpa?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; astron-rpa trust report.