stateful-y/kedro-dagster
Kedro plugin to support running pipelines on Dagster
This tool helps data scientists and ML engineers automate and monitor their data processing and machine learning workflows. It takes existing Kedro projects, translates them into Dagster assets and jobs, and provides a unified interface to schedule, execute, and observe these pipelines. You get reliable, traceable, and easily manageable data and ML pipelines.
Use this if you are a data scientist or ML engineer already using Kedro for your data science projects and want to add robust orchestration, scheduling, and monitoring capabilities with Dagster.
Not ideal if you are not currently using Kedro for structuring your data and ML pipelines.
Stars
22
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/stateful-y/kedro-dagster"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML...
clearml/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data...
argoproj-labs/hera
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations....
argoproj/argo-workflows
Workflow Engine for Kubernetes