Overview
Research summary
Apache Airflow represents workflows as code, with tasks organized into directed acyclic graphs. Its scheduler and execution components coordinate runs, dependencies and retries, while the web interface supports operational inspection. It is particularly relevant for data preparation, periodic ingestion and other batch processes surrounding machine learning and AI systems.
Airflow is not itself an LLM agent framework, and its scheduled workflow model should be evaluated against the application’s execution requirements. The Apache project is implemented primarily in Python and distributed under Apache 2.0; commercial managed Airflow services have separate terms.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Apache Airflow.
Implementation details
Python workflow scheduler, execution services and web UI
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 6
- https://airflow.apache.org/ Project page
- https://github.com/apache/airflow Linked repository · Research reference
- https://github.com/apache/airflow/blob/main/LICENSE Research reference
- https://airflow.apache.org/community/ Research reference
- https://s.apache.org/airflow-slack Research reference
- https://www.youtube.com/channel/UCSXwxpWZQ7XZ1WL3wqevChA/ Research reference
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06
Community & social 2 channels
Video
- YouTubewww.youtube.com/channel/UCSXwxpWZQ7XZ1WL3wqevChAOfficialLearningEvents
Link details for YouTube
- Access
- Public
- Last checked
Communities
- Slacks.apache.org/airflow-slackOfficialDiscussionSupportDevelopment
Link details for Slack
- Access
- Public
- Last checked