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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 + REST API, but 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).
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.
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.
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.