ZenML is an open-source platform that simplifies the MLOps workflow by enabling the development of machine learning pipelines locally, compatible with any MLOps stack. Bridging the gap between data science and MLOps, ZenML facilitates the creation of ML pipelines from feature engineering to automated model deployment.
This platform abstracts away complexities associated with machine learning infrastructure, making it compatible with major cloud providers. It supports local runs and orchestration on backends such as Kubeflow Pipelines, Sagemaker Pipelines, and SkyPilot. ZenML streamlines the entire ML lifecycle, providing automation, tracking, and versioning without the complexities of cloud and tool integrations.