dagster

airflow runs away with it 4–0 on popularity and shipping momentum. Numbers straight from GitHub.Stats only — numbers straight from GitHub, no AI verdict.

apache/airflowPython

🚀Rocketship

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

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4–0

blowout

dagster-io/dagsterPython

🚀Rocketship

An orchestration platform for the development, production, and observation of data assets.

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Round by round

Stars·
Forks·
Shipped last 4 weeks·
Commits last year·

The commentary

apache/airflow dominates the scoreboard

apache/airflow is running laps around dagster-io/dagster with commanding leads across every momentum metric: nearly 3x the stars, 8x the forks, and a jaw-dropping 10x more shipping volume in the last month. With 7,937 commits year-over-year versus 3,078, apache/airflow is operating at a fundamentally different pace and scale—this isn't even close.

AI-generated from the stats below.

Head to head

Shape of the matchup

Each axis is scaled to the bigger of the two — the leader always reaches the edge. It shows who leads on each dimension, not by how much; hover an axis (or read the bars) for the real numbers.

airflowdagster

Stars
47.1k
16.3k
Forks

Challenge another repo

Days since last push

18.0k

2.3k

Shipped last 4 weeks

903

127

Commits last year

8.6k

2.5k

Days since last push

today

Lines of code (est.)not scored

2.7m

1.4m

Open issuesnot scored

1.8k

2.6k

Languagesnot scored

Bars are scaled within each row — they compare the two repos on that metric, not across metrics. Size rows (lines of code, open issues, languages) are facts, not victories, so they are never scored. Shipping counts show “—” while GitHub warms its weekly stats cache.

Numbers straight from GitHub.

The commentary

apache/airflow dominates the scoreboard

AI-generated from the stats below.