Kubeflow Notebooks vs ZenML
Kubeflow Notebooks
kubeflow.org
ZenML
zenml.ioSide by side
| Figure | Kubeflow Notebooks | ZenML |
|---|---|---|
| Price from | — | $999/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 3 |
| Spec score · Model Registry Software | 7.1 (#18) | 7.8 (#10) |
| Spec score · MLOps Platforms | 7.1 (#17) | 7.8 (#7) |
| Spec score · ML Experiment Tracking Software | 7.2 (#24) | 7.8 (#11) |
| Spec score · Model registries | 6.9 (#30) | 8.4 (#9) |
| Deployment | Kubeflow Notebooks can be deployed as a standalone subproject or as part of a Kubeflow distribution. | ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods. |
| Purpose | Kubeflow Notebooks runs interactive development environments for AI, ML, and data workloads on Kubernetes. | ZenML orchestrates AI and machine-learning pipelines and agents written in Python. |
| Support | The project’s troubleshooting guide recommends checking Notebook and Pod events, Pod YAML, and Pod logs when a notebook does not start. | The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA. |
Plans
In their own words
Kubeflow Notebooks
Kubeflow Notebooks has no write-up on Specifiction yet; its figures are above.
ZenML
ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.