Here’s the difference between Apache Luigi and Kubeflow. The comparison is based on pricing, deployment, business model, and other important factors.
Luigi is a Python package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more.
Kubeflow provides an open-source machine learning toolkit for Kubernetes. Enables users to train, deploy and manage a machine learning stack on Kubernetes. Is compatible with PyTorch, Apache MXNet, MPI, XGBoost, Chainer & more and can be integrated with Istio and Ambassador.
Overview | ||
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Categories | Workflow Orchestration | Workflow Orchestration |
Stage | Mature | Mid Stage |
Target Segment | SMB , Enterprise, Startups | Mid size |
Deployment | Self hosted | On Prem |
Business Model | Open Source | Open Source |
Pricing | Free | Freemium |
Location | USA | US |
Companies using it | ||
Contact info |