Apache Airflow

License: Apache-2.0

Overall rating

8.5

Stars: 38322

Contributors: 414

Apache Airflow is a platform designed for orchestrating, monitoring, and scheduling workflows as directed acyclic graphs (DAGs). It enables users to programmatically author workflows and manage their execution. Airflow is built to scale, offering a modular architecture and a user-friendly web interface for tracking task progress, handling retries, and visualizing workflows. It supports integration with various tools and platforms, making it ideal for data pipelines and automation tasks.

Key Features

  • DAG-based workflow management.
  • Extensive operator and plugin ecosystem.
  • Scalability across distributed systems.
  • Web-based monitoring and management interface.
Activity

Last update: Jan 13, 2025

  • Commits (last week)

    109

  • Resolved issues (last week)

    180

  • Merged PRs (last week)

    112

Maturity

Last update: Jan 18, 2025

  • Age

    9 years 9 months

  • Stability

    STABLE

Information

Funding

In-house OSS project

Programming languages

Python
TypeScript
JavaScript

Tags

workflow-engine
elt
data-integration
etl
data-science
python
data-pipelines
orchestration
scheduler
data-orchestrator
mlops
workflow-orchestration
apache-airflow
data-engineering
machine-learning
apache
airflow
dag
workflow
automation