kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
This tool helps machine learning engineers and data scientists build and manage their machine learning workflows. It takes individual ML steps (like data preparation, model training, or evaluation) and orchestrates them into a complete, reusable pipeline. The output is a robust, scalable, and reproducible end-to-end ML solution, making experimentation and deployment more efficient.
4,099 stars. Actively maintained with 114 commits in the last 30 days.
Use this if you need to orchestrate complex machine learning workflows on Kubernetes, manage multiple ML experiments efficiently, and reuse components across different projects.
Not ideal if you are looking for a simple, single-script solution for a small, isolated machine learning task that doesn't require complex orchestration or deployment.
Stars
4,099
Forks
1,963
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
114
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