kubeflow/pipelines
A Kubernetes-based platform for building, deploying, and managing machine learning pipelines and workflows.
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Kubeflow Pipelines is an open-source platform for composing, executing, and managing reusable end-to-end ML workflows. It provides SDK tools for constructing ML pipelines from reusable components, supports experiment tracking, and enables scalable execution on Kubernetes clusters. The platform handles orchestration of complex multi-step ML pipelines including data preprocessing, training, validation, and deployment stages.
Frequently asked
- What is kubeflow/pipelines?
- A Kubernetes-based platform for building, deploying, and managing machine learning pipelines and workflows.
- Is pipelines open source?
- Yes — kubeflow/pipelines is open source, released under the Apache-2.0 license.
- What language is pipelines written in?
- kubeflow/pipelines is primarily written in Python.
- How popular is pipelines?
- kubeflow/pipelines has 4.2k stars on GitHub.
- Where can I find pipelines?
- kubeflow/pipelines is on GitHub at https://github.com/kubeflow/pipelines.