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dolphinscheduler

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项目能做什么

现代化分布式数据编排平台,支持通过低代码敏捷创建高性能工作流。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# Apache Dolphinscheduler

[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)
[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
[![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule) <!-- markdown-link-check-disable-line -->
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)

## About

Apache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows.
It is dedicated to handling complex task dependencies in data pipelines and provides a wide range of built-in job types **out of the box**.

Key features for DolphinScheduler are as follows:

- Easy to deploy, providing four deployment modes including Standalone, Cluster, Docker, and Kubernetes.
- Easy to use, workflows can be created and managed via Web UI, [Python SDK](https://dolphinscheduler.apache.org/python/) or Open API
- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native support for horizontal scaling.
- High performance, its performance is several times faster than other orchestration platforms, and it is capable of handling tens of millions of tasks per day
- Cloud Native, DolphinScheduler supports orchestrating workflows across multiple clouds and data centers, and allows custom task types
- Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks.
- Flexible state control of workflows and tasks, supports pausing, stopping, and recovering them at any time.
- Multi-tenancy support
- Additional features, backfill support(Web UI native), permission control including project and data source etc.

## QuickStart

- For quick experience
  - Want to [start with standalone](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/installation/standalone)
  - Want to [start with Docker](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/start/docker)
- For Kubernetes
  - [Start with Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/installation/kubernetes)
- For Terraform
  - [Start with Terraform](deploy/terraform/README.md) 

## User Interface Screenshots

* **Homepage:** Project and workflow overview, including the latest workflow instance and task instance status statistics.
![home](images/home.png)

* **Workflow Definition:** Create and manage workflows by drag and drop, easy to build and maintain complex workflows, support [a wide range of tasks](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/introduction-to-functions_menu/task_menu) out of box.
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 67.4 分。该项目在“个人可实施性”维度得 32 分,“付费可能性”维度得 60.0 分,差异化空间 100.0 分(评分依据见评分卡)。

将 dolphinscheduler 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期较高 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 dolphinscheduler 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送 ,发布过 58 个 Release
社区活跃Star 14,552 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/apache/dolphinscheduler.git
cd dolphinscheduler
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。