dag

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

Workflow Engine for Kubernetes

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

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

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）

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton