Alternatives to ZenML
An open-source framework for writing ML pipelines and AI agents in Python and running them on your own infrastructure. The listings below can replace it for an important use case. Each note says what changes if you switch.
The original
ZenML
An open-source framework for writing ML pipelines and AI agents in Python and running them on your own infrastructure.
Replacements
Listings that take over the same core job as ZenML.
Flyte
An open-source orchestration platform for durable data, machine learning and AI agent workflows written in Python.
Flyte is an open-source orchestration platform for Python data, ML and agent workflows that recovers from failures and includes a local devbox with a web UI, though Flyte 1 users must migrate.
Kubeflow
A Kubernetes-native set of open-source projects for running data, ML and AI workloads.
Kubeflow is an Apache-2.0 set of Kubernetes-native projects for ML training and serving, requiring a Kubernetes cluster instead of ZenML's portability across orchestrators and clouds.
Similar software
Related functionality, not a direct replacement.
MLflow
An open-source platform for tracing, evaluating and managing LLM applications, agents and machine learning models.
Weights & Biases
A hosted platform for tracking machine learning experiments, evaluating models and tracing LLM applications.
KServe
A Kubernetes-native platform for serving predictive and generative AI models at scale.
TensorBoard
A visualization toolkit for inspecting machine learning training runs, metrics and model graphs.
