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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
47.1k 18.0k 1.8k openLast shipped 1h ago
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Airflow shipped a mix of executor improvements and provider fixes this week. Work includes timing corrections for Celery callbacks and Kubernetes polling, a Snowflake SQL API timeout fix, and a new API endpoint to compare stored DAG versions. The week also saw steady dependency updates (Java SDK,…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in airflow's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
