Topics / #workflow-orchestration

Workflow-orchestration projects on GitHub

Schedulers and orchestrators for data pipelines and complex task graphs.

As of , the most-starred Workflow-orchestration projects on GitHub are airflow (47.2K stars), luigi (18.8K stars) and mlops-zoomcamp (15.4K stars). GitHub.Locker tracks 6 Workflow-orchestration repositories with 107.3K stars combined. The fastest-growing on October 16 was airflow, with +7 stars in a day.

6Projects
107.3KStars in total
+19Stars in a day
Browse in the catalog →github.com/topics/workflow-orchestration ↗

Hot right now

Most stars gained in a day · Oct 16

+7

airflow

apache/airflow · ★ 47.2K

Apache Airflow is a platform to programmatically author, schedule, and monitor workflows, defined as code using Python.

+5

mlops-zoomcamp

DataTalksClub/mlops-zoomcamp · ★ 15.4K

A free 9-week course from DataTalks.Club that teaches MLOps fundamentals — productionizing machine learning services, from training and experimentation to deployment and monitoring.

+4

dolphinscheduler

apache/dolphinscheduler · ★ 14.5K

Apache DolphinScheduler is a modern data orchestration platform for building and running complex data pipeline workflows with low-code, drag-and-drop tools.

+3

PocketFlow

The-Pocket/PocketFlow · ★ 11.3K

Pocket Flow is a minimalist 100-line LLM framework built around a single Graph abstraction, letting you build agents, workflows, and RAG pipelines without heavy dependencies or vendor lock-in.

The all-time top

6 projects · by stars

  1. #1 · apache/airflow

    airflow

    Apache Airflow is a platform to programmatically author, schedule, and monitor workflows, defined as code using Python.

    47.2K
  2. #2 · spotify/luigi

    luigi

    Luigi is a Python package for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, failure handling and command line integration.

    18.8K
  3. #3 · DataTalksClub/mlops-zoomcamp

    mlops-zoomcamp

    A free 9-week course from DataTalks.Club that teaches MLOps fundamentals — productionizing machine learning services, from training and experimentation to deployment and monitoring.

    15.4K
  1. 4

    dolphinscheduler

    14.5Kapache/dolphinscheduler · Java

    Apache DolphinScheduler is a modern data orchestration platform for building and running complex data pipeline workflows with low-code, drag-and-drop tools.

  2. 5

    PocketFlow

    11.3KThe-Pocket/PocketFlow · Python

    Pocket Flow is a minimalist 100-line LLM framework built around a single Graph abstraction, letting you build agents, workflows, and RAG pipelines without heavy dependencies or vendor lock-in.

  3. 6

    orchflows

    121DanMcInerney/orchflows · Python

    Orchflows gives you two composable skills for AI coding agents that let you build a reusable multi-step workflow once and reuse it inside bigger jobs instead of re-explaining the process every session.

Often tagged together