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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
| Date | Stars |
|---|---|
| 2026-07-24 | 14398 |
| 2026-07-25 | 14399 |
| 2026-07-28 | 14401 |
| 2026-07-30 | 14401 |
| 2026-08-06 | 14410 |
Today
+9 stars today
This week
+9 stars this week
This month
— stars this month
Momentum
60.0
growth rate 0.06%/day
# Apache Dolphinscheduler [](https://www.apache.org/licenses/LICENSE-2.0.html)  [](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler) [](https://twitter.com/dolphinschedule) <!-- markdown-link-check-disable-line --> [](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/main/index.html) 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.  * **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.  * **Workflow Tree View:** Abstract tree structure could provide a clearer understanding of task relationships  * **Data source:** Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.  * **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.  ## Suggestions & Bug Reports Follow [this guide](https://github.com/apache/dolphinscheduler/issues/new/choose) to report your suggestions or bugs. ## Contributing The community welcomes contributions from everyone. Please refer to this page to find out more details: [How to contribute](docs/docs/en/contribute/join/contribute.md). Check out good first issues [here](https://gi
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xiangzihao · @apache
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David Zollo · @apache @whaleops · Singapore
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Calvin Kirs · @apache @selectdb
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9ea0d4b115d94335, topic:workflow, topic:orchestration, readme:drag and drop