{"id":"apache-airflow","name":"airflow","homepage":"https://airflow.apache.org/","repo_url":"https://github.com/apache/airflow","category":"infrastructure","subcategories":[],"tags":["ai-ml","automation","data-engineering","workflow-orchestration","dag","python","open-source"],"what_it_does":"Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows (DAGs). It executes tasks via a scheduler and workers, provides a UI for visualization/monitoring, and supports defining pipelines as code.","use_cases":["Batch and scheduled data pipelines (ETL/ELT)","Workflow orchestration for data engineering and analytics pipelines","Automating multi-step processes with dependencies","Infrastructure for running and monitoring Python-based task graphs","Extensible orchestration using a large ecosystem of operators/providers"],"not_for":["Real-time low-latency streaming processing as a primary streaming engine","Use as a hosted SaaS API without deploying your own infrastructure","Passing large quantities of data directly between tasks (Airflow recommends task idempotency and not large data transfers)"],"best_when":"Your workflow structure is mostly static/slow-changing and you can model execution as DAG-based tasks with idempotent operators and external services for heavy/high-volume processing.","avoid_when":"You need a streaming-first system or you expect to pass large data payloads between tasks through Airflow primitives rather than via external storage/services.","alternatives":["Prefect","Dagster","Luigi","AzKaban (historical/other orchestrators)","Kubernetes-native workflow tools (e.g., Argo Workflows)"],"af_score":16.5,"security_score":17.0,"reliability_score":46.2,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T12:58:43.068922+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"The provided README content focuses on deployment and usage; it does not document an agent-facing auth scheme (e.g., API keys/OAuth scopes) in a way that can be scored here."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source project (Apache-2.0). Costs depend on infrastructure you deploy (workers, scheduler, databases, and integrations)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":16.5,"security_score":17.0,"reliability_score":46.2,"mcp_server_quality":null,"documentation_accuracy":80.0,"error_message_quality":null,"error_message_notes":null,"auth_complexity":20.0,"rate_limit_clarity":0.0,"tls_enforcement":0.0,"auth_strength":0.0,"scope_granularity":0.0,"dependency_hygiene":60.0,"secret_handling":40.0,"security_notes":"Security controls are highly dependent on how you deploy/configure Airflow (webserver auth, secrets backend, connections, RBAC, TLS termination, network policies). The provided content does not document specific auth/TLS/secret-handling mechanisms for scoring; it does emphasize idempotent tasks to reduce harm from retries/reruns.","uptime_documented":0.0,"version_stability":80.0,"breaking_changes_history":50.0,"error_recovery":55.0,"idempotency_support":null,"idempotency_notes":"The README states tasks should ideally be idempotent and not create duplicated data in destination systems (suggests idempotent design for reliable reruns).","pagination_style":null,"retry_guidance_documented":null,"known_agent_gotchas":["Airflow is an orchestrator/platform, not a simple API service; an agent may need substantial domain knowledge and infrastructure configuration (scheduler/workers, DB, message queues, connections).","README indicates pip-only installation is officially supported (install complexity is non-trivial without constraints).","Operational issues (task retries, dependency management, worker concurrency) depend on DAG/operator configuration not shown in the README excerpt."]}}