RepoPilot

apache/airflow

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

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • ✓Last commit today
  • ✓50+ active contributors
  • ✓Distributed ownership (top contributor 11% of recent commits)
  • ✓Apache-2.0 licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: apache/airflow

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T00:13:15.158Z · commit 37dd6c8efa25

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 50+ active contributors
  • Distributed ownership (top contributor 11% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Apache Airflow is a Python-based platform for programmatically authoring, scheduling, and monitoring workflows as directed acyclic graphs (DAGs). It provides a declarative, dynamic workflow orchestration engine with native support for distributed task execution, comprehensive UI dashboards, and multi-language SDK support (Java, Python, Go). The core solves workflow scheduling and dependency management without requiring users to write cron jobs or custom scheduling logic. Monorepo structure: airflow-core/ contains the primary scheduler, DAG parser, and executor engine; separate directories for 3rd-party-licenses and architectural decision records (adr/lang-sdk/). The UI layer uses React…

Start here

Open these first:

  • README.md — Primary documentation entry point describing Apache Airflow as a platform for authoring, scheduling, and monitoring…
  • CONTRIBUTING.rst — Contributor guidelines covering development practices, submission process, and code standards.
  • airflow-core/hatch_build.py — Build configuration for the core Airflow package, controlling package assembly and distribution.
  • Dockerfile — Production Docker image definition establishing the canonical runtime environment for Airflow.
  • GOVERNANCE.md — Project governance structure defining decision-making authority and contributor roles.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone: git clone https://github.com/apache/airflow.git && cd airflow. The airflow-core/ contains a hatch_build.py indicating Hatchling as the build backend; install with pip install -e airflow-core/ or follow INSTAL…

Daily commands:

Python backend: verify INSTALLING.md or INSTALL for dependency setup; likely pip install -e airflow-core/ or hatch build. TypeScript UI (simple-auth-manager-ui): pnpm install && pnpm dev starts Vite dev server on…

…shortened for this brief.

Key cautions & unknowns

    1. Build system split: airflow-core/ uses Hatchling (hatch_build.py), while the separate simple-auth-manager-ui uses pnpm/Node >=22—these are independent build contexts with different dependency trees. 2. BREEZE.rst…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

For the complete agent context, use the CLAUDE.md or Cursor rules export.

Save as

Full context for agent files, or a concise PDF for human review.

View complete agent reference

Open to load every section of the agent reference.

Want this for your own repo?

Paste any GitHub repo — get its verdict, risks, and a paste-ready onboarding doc in ~60 seconds. Free, no sign-up.

Embed the "Healthy" badge

Paste into your README — live-updates from the latest cached analysis.

Variant:
RepoPilot: Healthy
[![RepoPilot: Healthy](https://repopilot.app/api/badge/apache/airflow)](https://repopilot.app/r/apache/airflow)

Paste at the top of your README.md — renders inline like a shields.io badge.

▸Preview social card

This card auto-renders when someone shares https://repopilot.app/r/apache/airflow on X, Slack, or LinkedIn.

Ask AI about apache/airflow

Grounded in the actual source code. Pick a starter question or write your own.

What does this repo do, in one paragraph?How would I get started using it?What are the main alternatives?Show me the entry point.
Or write your own question

Featured in lists

Curated shortlists that include this repo.

More from apache

See all
Embed this chat in your README

Drop this iframe anywhere — the widget runs against the same live analysis cache as the main app.

<iframe
  src="https://repopilot.app/embed/apache/airflow"
  width="100%" height="500"
  style="border:1px solid #d0d7de; border-radius:8px;"
  allow="microphone"
  loading="lazy"
></iframe>