ZenML

ZenML is built for ML or AI Engineers working on traditional ML use-cases, LLM workflows, or agents, in a company setting.

ZenML allows you to write workflows (pipelines) that run on any infrastructure backend (stacks). You can embed any Pythonic logic within these pipelines, like training a model, or running an agentic loop. ZenML then handles:

- Automatically containerizing and tracking your code.
- Tracking individual runs with metrics, logs, and metadata.
- Abstracting away infrastructure complexity.
- Integrating your existing tools and infrastructure e.g. MLflow, Langgraph, Langfuse, Sagemaker, GCP Vertex, etc.
- Allowing you to quickly iterate on experiments with an observable layer, in development and in production.

🚀 Website - https://zenml.io
☁️ Sign up - https://cloud.zenml.io
📕 Documentation - https://docs.zenml.io
⭐ GitHub Repository - https://github.com/zenml-io/zenml
📞 Join our Slack channel - https://zenml.io/slack