[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4018":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":37,"readmeContent":38,"aiSummary":39,"trendingCount":16,"starSnapshotCount":16,"syncStatus":40,"lastSyncTime":41,"discoverSource":42},4018,"dolphinscheduler","apache\u002Fdolphinscheduler","apache","Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code","https:\u002F\u002Fdolphinscheduler.apache.org\u002F",null,"Java",14310,5048,324,102,0,1,17,40,12,45,"Apache License 2.0",false,"dev",[26,27,28,29,30,31,32,33,34,35,36],"airflow","azkaban","cloud-native","data-pipelines","job-scheduler","orchestration","powerful-data-pipelines","task-scheduler","workflow","workflow-orchestration","workflow-schedule","2026-06-12 02:00:57","# Apache Dolphinscheduler\n\n[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-Apache%202-4EB1BA.svg)](https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0.html)\n![codecov](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fapache\u002Fdolphinscheduler\u002Fbranch\u002Fdev\u002Fgraph\u002Fbadge.svg)\n[![Quality Gate Status](https:\u002F\u002Fsonarcloud.io\u002Fapi\u002Fproject_badges\u002Fmeasure?project=apache-dolphinscheduler&metric=alert_status)](https:\u002F\u002Fsonarcloud.io\u002Fdashboard?id=apache-dolphinscheduler)\n[![Twitter Follow](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Fdolphinschedule.svg?style=social&label=Follow)](https:\u002F\u002Ftwitter.com\u002Fdolphinschedule) \u003C!-- markdown-link-check-disable-line -->\n[![CN doc](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F文档-中文版-blue.svg)](README_zh_CN.md)\n\n## About\n\nApache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows.\nIt is dedicated to handling complex task dependencies in data pipelines and provides a wide range of built-in job types **out of the box**.\n\nKey features for DolphinScheduler are as follows:\n\n- Easy to deploy, providing four deployment modes including Standalone, Cluster, Docker, and Kubernetes.\n- Easy to use, workflows can be created and managed via Web UI, [Python SDK](https:\u002F\u002Fdolphinscheduler.apache.org\u002Fpython\u002Fmain\u002Findex.html) or Open API\n- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native support for horizontal scaling.\n- 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\n- Cloud Native, DolphinScheduler supports orchestrating workflows across multiple clouds and data centers, and allows custom task types\n- Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks.\n- Flexible state control of workflows and tasks, supports pausing, stopping, and recovering them at any time.\n- Multi-tenancy support\n- Additional features, backfill support(Web UI native), permission control including project and data source etc.\n\n## QuickStart\n\n- For quick experience\n  - Want to [start with standalone](https:\u002F\u002Fdolphinscheduler.apache.org\u002Fen-us\u002Fdocs\u002F3.3.0-alpha\u002Fguide\u002Finstallation\u002Fstandalone)\n  - Want to [start with Docker](https:\u002F\u002Fdolphinscheduler.apache.org\u002Fen-us\u002Fdocs\u002F3.3.0-alpha\u002Fguide\u002Fstart\u002Fdocker)\n- For Kubernetes\n  - [Start with Kubernetes](https:\u002F\u002Fdolphinscheduler.apache.org\u002Fen-us\u002Fdocs\u002F3.3.0-alpha\u002Fguide\u002Finstallation\u002Fkubernetes)\n- For Terraform\n  - [Start with Terraform](deploy\u002Fterraform\u002FREADME.md) \n\n## User Interface Screenshots\n\n* **Homepage:** Project and workflow overview, including the latest workflow instance and task instance status statistics.\n![home](images\u002Fhome.png)\n\n* **Workflow Definition:** Create and manage workflows by drag and drop, easy to build and maintain complex workflows, support [a wide range of tasks](https:\u002F\u002Fdolphinscheduler.apache.org\u002Fen-us\u002Fdocs\u002F3.3.0-alpha\u002Fintroduction-to-functions_menu\u002Ftask_menu) out of box.\n![workflow-definition](images\u002Fworkflow-definition.png)\n\n* **Workflow Tree View:** Abstract tree structure could provide a clearer understanding of task relationships\n![workflow-tree](images\u002Fworkflow-tree.png)\n\n* **Data source:** Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.\n![data-source](images\u002Fdata-source.png)\n\n* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do a quick health check without logging in to the server.\n![monitor](images\u002Fmonitor.png)\n\n## Suggestions & Bug Reports\n\nFollow [this guide](https:\u002F\u002Fgithub.com\u002Fapache\u002Fdolphinscheduler\u002Fissues\u002Fnew\u002Fchoose) to report your suggestions or bugs.\n\n## Contributing\n\nThe community welcomes contributions from everyone. Please refer to this page to find out more details: [How to contribute](docs\u002Fdocs\u002Fen\u002Fcontribute\u002Fjoin\u002Fcontribute.md).\nCheck out good first issues [here](https:\u002F\u002Fgithub.com\u002Fapache\u002Fdolphinscheduler\u002Fcontribute) if you are new to DolphinScheduler.\n\n## Community\n\nWelcome to join the Apache DolphinScheduler community by:\n\n- Use [GitHub Issues](https:\u002F\u002Fgithub.com\u002Fapache\u002Fdolphinscheduler\u002Fissues) for questions, discussions, and bug reports\n- Follow the [DolphinScheduler Twitter](https:\u002F\u002Ftwitter.com\u002Fdolphinschedule) and get the latest news \u003C!-- markdown-link-check-disable-line -->\n- Subscribe DolphinScheduler mail list, [users@dolphinscheduler.apache.org](mailto:users-subscribe@dolphinscheduler.apache.org) for users and [dev@dolphinscheduler.apache.org](mailto:dev-subscribe@dolphinscheduler.apache.org) for developers\n\n# Landscapes\n\n\u003Cp align=\"center\">\n\u003Cbr\u002F>\u003Cbr\u002F>\n\u003Cimg src=\".\u002Fimages\u002Fcncf-landscape-white-bg.jpg\" width=\"175\" alt=\"cncf-landscape\"\u002F>  \u003Cimg src=\".\u002Fimages\u002Fcncf-white-bg.jpg\" width=\"200\" alt=\"cncf-logo\"\u002F>\n\u003Cbr\u002F>\u003Cbr\u002F>\nDolphinScheduler enriches the \u003Ca href=\"https:\u002F\u002Flandscape.cncf.io\u002F?item=orchestration-management--scheduling-orchestration--dolphinscheduler\">CNCF CLOUD NATIVE Landscape.\u003C\u002Fa >\n\u003C\u002Fp >\n","Apache DolphinScheduler 是一个现代化的数据编排平台，支持通过低代码方式敏捷创建高性能工作流。该项目采用Java语言开发，具备多种核心功能和技术特点，包括易于部署（支持单机、集群、Docker和Kubernetes四种模式）、用户友好的Web界面及Python SDK操作、高可靠性和可用性（基于去中心化多主多工作节点架构）、卓越的性能（每天可处理数千万任务），以及云原生特性（支持跨多个云和数据中心的工作流编排）。此外，它还提供了工作流版本控制、灵活的状态管理和多租户支持等功能。Apache DolphinScheduler 适用于需要构建复杂数据管道或任务调度系统的场景，特别是在大数据处理、ETL流程自动化等领域。",2,"2026-06-11 02:57:56","top_language"]