Apache Airflow AI

Open-source workflow orchestration platform widely used for ML pipeline scheduling

AI Infrastructure & MLOpsFree

Apache Airflow is the leading open-source workflow orchestration platform that allows data engineers and ML teams to programmatically author, schedule, and monitor data pipelines and ML workflows as directed acyclic graphs (DAGs) written in Python. While not AI-specific, Airflow is the backbone of most enterprise ML operations pipelines, orchestrating data ingestion, model training, evaluation, and deployment workflows. Its extensive provider ecosystem includes integrations with all major cloud ML services. Data engineering teams, MLOps engineers, and large organizations use Airflow to reliably orchestrate complex ML production workflows.

Key Features

• ✓DAG-based workflows
• ✓Scheduling
• ✓Monitoring UI
• ✓Extensive integrations
• ✓Open-source