apache/airflow

★47,442PythonApache-2.0⑂ 18,342Issue 968Updated Nov 11, 2026

View on GitHub ↗Website ↗

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Apache Airflow: Workflow Orchestration as Python DAGs — Airflow lets teams define, schedule, and monitor data pipelines as Python code, with dependencies expressed as DAGs. It's widely used for ETL, ML, and data integration tasks across many providers and backends. This is the mature, actively maintained Apache project behind countless production data pipelines.

Metrics

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

Created Apr 14, 2015 · First on trending Nov 7, 2026

Other notable repositories in the same category (Data & databases)

• Kohei-Wada/houritsuJapan's entire legal code, replayed as a git repository
• ShayanAbbas1/dbdelveA Rust/GPUI database client built to replace bloated Electron tools
• Albert-Weasker/niubigeoSelf-hosted, open-source GEO research tool for AI visibility tracking
• devaccuracy/ledgerforgeA double-entry ledger built to keep AI agents on a budget
• jepsen-io/particledbJepsen Puts ParticleDB's Transaction Consistency to the Test

See all Data & databases repositories →

Rank within automation

See all automation repositories →