JFrog ML vs Jozu Hub
JFrog ML
jfrog.comJozu Hub
jozu.comSide by side
| Figure | JFrog ML | Jozu Hub |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · Model Registry Software | 7.9 (#7) | 7.8 (#8) |
| Spec score · Model registries | 7.8 (#16) | 8.0 (#12) |
| Deployment | Models can be served as API endpoints, used for batch inference, and A/B tested. | Hub is available as a hosted Sandbox or as self-hosted software for on-premises and private-cloud deployment. |
| Integrations | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. | Jozu says Hub is commonly accessed from CI/CD systems such as GitHub Actions and GitLab, and experiment trackers such as MLflow. |
| Purpose | JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production. | Jozu Hub is a registry for models, agents, MCPs, and skills that verifies artifacts before they run and supports governance and auditability. |
| Security controls | JFrog's self-managed AI/ML service uses a frontend on the customer's JFrog Platform instance and a backend hosted by JFrog; enabling it requires a direct internet connection to bridge.ml.frog.io and an Enterprise+ license with AI Catalog entitlement. | The maker describes Cosign signatures, OCI attestations, scanning, policy enforcement, and cryptographically chained tamper-evident audit records. |
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.