The easiest way to orchestrate and observe your data pipelines
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Updated
May 18, 2023 - Python
The easiest way to orchestrate and observe your data pipelines
Conductor is a microservices orchestration engine.
A distributed transaction framework, supports workflow, saga, tcc, xa, 2-phase message, outbox patterns, supports many languages.
A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
Lightweight workflow engine for .NET Standard
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
Tool integration platform for Kubernetes
Distributed Workflow Engine for Microservices Orchestration
Reusable workflow library for Django
A DSL for data-driven computational pipelines
Lightweight, fast, stable, and programmable component-based rule engine/process engine. Component reuse, synchronous/asynchronous orchestration, dynamic orchestration, multi-language scripting support, complex nested rules, hot deployment, smooth refreshing. Let you improve your development efficiency!
基于django的工作流引擎,工单(a workflow engine base on django python)
Data intensive science for everyone.
Robust, flexible and resource-efficient pipelines using Go and the commandline
蓝鲸智云标准运维(SOPS)
基于Activiti的工作流引擎扩展,接管了Activiti对活动权限以及用户表的管理,并提供了催办、代办、加签(包括前加签/后加签)、自由跳转、分裂节点等功能
µTask is an automation engine that models and executes business processes declared in yaml.
Titanoboa makes complex workflows easy. It is a low-code workflow orchestration platform for JVM - distributed, highly scalable and fault tolerant.
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
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