airflow-alternative

Code-first platform for workflows, apps and AI agents, on the fastest self-hostable orchestrator (benchmarked against Airflow, Prefect and Temporal). Business teams build with AI, engineers control what ships. Open-source alternative to Lovable, Retool and n8n.

Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.

Apache Airflow-compatible workflow orchestrator, re-engineered in Go: the drop-in Airflow UI and REST API on a single-binary control plane (no Python GIL), with pod-per-task isolation and GitOps-native DAGs. Self-host on one machine (Lite) or Kubernetes (Pro).

Durable DAG workflow engine in one Rust binary — an open-source, lightweight Airflow alternative.

A job scheduler and orchestrator in a single binary, for scripts, pipelines and AI agents alike. Cron, DAGs, retries, timeouts and alerts over a directory of YAML, plus task results, idle timeouts, run-time fan-out and an MCP server for agentic jobs.

Rust-native data-pipeline orchestrator: event-sourced state, compile-time DAG validation, virtual environments, plan/apply deploys, and column-level SQL lineage — single binary, zero dependencies.

Lightweight self-hosted workflow scheduler in a single Go binary — an open-source Airflow/Azkaban alternative. Embedded SQLite, DAGs (cron + dependencies + backfill), polyglot tasks (shell/Python/SQL/JAR/HTTP), web console, REST API, and a built-in MCP server for AI agents. Linux & macOS.

Faster, cheaper, more trustworthy data analysis for humans and AI agents. A Python library that turns data-science scripts into a cached, reproducible, lineage-tracked pipeline — reruns only what a parameter, data, or code change affects. No server, no account.

单进程、零第三方依赖的 DAG 调度器｜Apache Airflow 最常用那 20% 的轻量替代

Self-hosted workflow engine that combines drag-drop DAGs with real code execution (Python/Node/Shell/Docker), 4 pluggable queue backends, and an AES-256 secret vault — in 140 MB of RAM. AGPL-3.0.

Automated revenue-anomaly pipeline. Deterministic SQL decides severity and routing; an LLM explains, and never judges. PostgreSQL 17 · n8n · FastAPI · Metabase.