Jozu Hub vs ZenML
Jozu Hub
jozu.com
ZenML
zenml.ioSide by side
| Figure | Jozu Hub | ZenML |
|---|---|---|
| Price from | Free | $999/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Model Registry Software | 7.8 (#8) | 7.8 (#10) |
| Spec score · Model registries | 8.0 (#12) | 8.4 (#9) |
| Deployment | Hub is available as a hosted Sandbox or as self-hosted software for on-premises and private-cloud deployment. | ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods. |
| Integrations | Jozu says Hub is commonly accessed from CI/CD systems such as GitHub Actions and GitLab, and experiment trackers such as MLflow. | The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. |
| Purpose | Jozu Hub is a registry for models, agents, MCPs, and skills that verifies artifacts before they run and supports governance and auditability. | ZenML orchestrates AI and machine-learning pipelines and agents written in Python. |
| Support | The pricing page lists Discord community support for Sandbox and email plus Slack support for Enterprise. | The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA. |
Plans
In their own words
Jozu Hub
Jozu Hub is a registry for models, agents, MCPs and skills, with checks intended to verify artifacts before they run. It combines scanning with policy enforcement, Cosign signatures, OCI attestations and tamper-evident audit records. The product page describes scans across nine vulnerability classes, including malicious code, backdoored weights, data poisoning, prompt injection and license violations. Teams can compare ModelKit versions side by side and follow artifact history from experiment through production. Hub can also compose Rapid Inference Containers from a hardened base image and ModelKit at pull time, without a build step. Hub is available as a hosted Sandbox or as self-hosted software for on-premises and private-cloud use, including fully air-gapped deployment. Its MCP registry API supports centrally curated servers in clients such as VS Code, Cursor and Claude Desktop. The free Sandbox costs nothing and includes unlimited public repositories, one private repository and 250 GB of storage.
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.