Weights & Biases vs ZenML
Weights & Biases
wandb.ai
ZenML
zenml.ioSide by side
| Figure | Weights & Biases | ZenML |
|---|---|---|
| Price from | $60/mo | $999/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 3 |
| Spec score · Model registries | 9.5 (#3) | 8.4 (#9) |
| Spec score · ML Experiment Tracking Software | 8.6 (#5) | 7.8 (#11) |
| Spec score · MLOps Platforms | 8.6 (#5) | 7.8 (#7) |
| Deployment | W&B offers multi-tenant SaaS, isolated dedicated cloud and customer-managed cloud or on-premises deployments. | ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods. |
| Headquarters | San Francisco, California, United States | Munich, Germany |
| Integrations | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. | The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. |
| Security | The SaaS deployment states SOC 2 Type 2 certification, team-level data isolation and SSO support. | ZenML states that it is SOC 2 Type II and ISO 27001 certified. |
| Support | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. | The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA. |
Plans
Weights & Biases
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
In their own words
Weights & Biases
Weights & Biases 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.