ZenML

ZenML is an infrastructure platform that enables AI and machine learning engineers to develop workflows and agents. It enables automatic containerization of code, monitoring of metrics and logs, and abstraction of infrastructure complexity. MLflow works integrated with existing tools and infrastructures such as Langgraph, Sagemaker and GCP Vertex.

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zenml-io · MLOps & AI Infrastructure

STARS5.6K
FORKS669
COMMITS—
CONTRIBUTORS132
VERSION0.96.2
UPDATEDtoday
PythonMLOpsPipelineApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You write down workflows and pipelines that work on any infrastructure background.
  • You follow the code and individual executions with metrics, logs, and metadata.
  • You integrate your existing tools and infrastructure into your project.
User reviews
  • • NeutralHacker News

    Show HN: ZenML, extensible open-source MLOps framework for reproducible ML

    “Hi! We are fully bootstrapped, and ZenML is the final result of a longer journey. When we started over three years ago we were running predictive analytics projects with industry partners. Over time our focus expanded, until we finally realized: our tech stack is much more…”

  • • NeutralHacker News

    Show HN: ZenML, extensible open-source MLOps framework for reproducible ML

    “Hi, one of the co-founders here. We’ve been using the original base of ZenML for a few years in its previous shapes, mostly in predictive analytics projects. We obviously had to switch things up to make the code base suitable to a broader audience and are still working out…”

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