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ZENML
Open-source control plane for ML, LLM, and agentic pipelines
Apache-2.0
ABOUT
Teams waste significant engineering effort rewriting notebook prototypes for production and maintaining brittle glue code between fragmented tools. ZenML eliminates this prototype-to-production gap by providing a metadata-rich orchestration layer that makes the same Python pipeline run locally for debugging, in batch for evaluation, and seamlessly on Kubernetes or cloud for production.
INSTALL
pip install zenmlINTEGRATION GUIDE
1. Orchestrating agentic workflows with LangGraph, CrewAI, or OpenAI Agents SDK
2. Building production RAG pipelines with evaluation loops and artifact versioning
3. End-to-end batch inference and classical ML model deployment with monitoring
4. Fine-tuning and deploying LLMs with reproducible, versioned artifacts
TAGS
mlopsorchestrationpipelinesagentsllmpythonopen-source