apache/airflow
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Builder
apache
apache • individual
Stars
44,868
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Forks
16,788
Using upstream fork count
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0
Activity Score
0/100
722 commits in 30d
Created
Apr 13, 2015
Project creation date
README Summary
Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows using Python. It's used by data engineers and ML practitioners to orchestrate complex data pipelines and machine learning workflows across distributed systems.
AI Dev Skills
Unmapped
Workflow OrchestrationML Pipeline ManagementData Pipeline EngineeringETL/ELT ProcessingDistributed Task SchedulingData EngineeringMLOps Pipeline Orchestration
Tags
Workflow OrchestrationML Pipeline ManagementData Pipeline EngineeringETL/ELT ProcessingDistributed Task SchedulingData EngineeringMLOps Pipeline OrchestrationDockerOn-premiseCompound AI SystemsKubernetesAudioData Warehouse LoadingMulti-system Data IntegrationMLOpsImageETL/ELT Workflow ManagementDataOpsHealthcareAutomated Data Quality ChecksMedia & EntertainmentBatch Job SchedulingManufacturingCloud APIData Pipeline OrchestrationBatch ProcessingVideoFinancial ServicesSelf-hostedTabularML Model Training PipelinesTextTelecommunicationsE-commerceMLOps Pipeline ManagementAutomated ML PipelinesPython
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Recent Activity
Updated 22 days ago
7 Days
118
30 Days
722
90 Days
2427
Quality
production- Quality
- high
- Maturity
- production
Categories
MLOps & InfrastructurePrimaryDev Tools & AutomationML Platform & InfrastructureCoding & Dev ToolsHealthcare & BiologyOther AI / MLModel TrainingGenerative Media
PM Skills
Scale & ReliabilityDeveloper Platform
Languages
Python100.0%
Timeline
- Project created
- Apr 13, 2015
- Forked
- Mar 22, 2026
- Your last push
- 22 days ago
- Upstream last push
- 6 days ago
- Tracked since
- Mar 22, 2026
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