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Packaging shared code as private wheels for versioned distribution across internal projects.
Distinct from Python Distribution Packaging: Distinct from Python Distribution Packaging: focuses on the internal distribution of private code artifacts, not general public registry publication.
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ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Packages shared Python code as private wheels to facilitate versioned distribution across internal projects.