dag

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

Transform data, train models, and run SQL with marimo — feels like a next-gen reactive notebook, stored as Git-friendly reproducible Python. Deploy as scripts, pipelines, endpoints, and apps. All from an AI-native editor (or your own).

Workflow Engine for Kubernetes

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

C++ Parallel Computing and Asynchronous Networking Framework

🚀 JavaScript diagramming library that uses SVG and HTML for rendering.

🪓 Run Background Tasks at Scale

🦋Butterfly，A JavaScript/React/Vue2 Diagramming library which concentrate on flow layout field. (基于JavaScript/React/Vue2的流程图组件)

Build data pipelines, the easy way 🛠️

Maestro: Netflix’s Workflow Orchestrator

Lightweight and powerful workflow engine for enterprise & small teams. Single binary with Web UI. 100% open source. No vendor lock-in. It natively supports running containers and executing commands over SSH. Offline or air-gapped environment ready.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

A series of DAGs/Workflows to help maintain the operation of Airflow

A high performance Python graph library implemented in Rust.

Taier is a big data development platform for submission, scheduling, operation and maintenance, and indicator information display

Compilation of useful documents and scientific papers about Blockchain & cryptocurrencies.

Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources. https://cyclone.dev

Graph visualization library for angular

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）