Jozu Hub vs MLflow Model Registry

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.

MLflow Model Registry is a model store, API and interface for managing machine-learning models through their lifecycle. It tracks model versions and connects each version to the MLflow run, logged model or notebook that produced it. Teams can organize models with aliases, tags and annotations, register models, add descriptions, and move them between stages such as Staging and Production. On a remote tracking server, MLflow supports basic HTTP authentication and role-based permissions for registered models; basic authentication requires a configured secret key and an admin password of at least 12 characters. When used with Databricks Unity Catalog, the registry supports centralized governance, access controls, cross-workspace access and model lineage. An official Helm chart supports self-hosted Kubernetes deployment. MLflow lists integrations with more than 100 tools, including LangChain, OpenAI and PyTorch, plus support for Python, TypeScript/JavaScript, Java, R and OpenTelemetry. The free Open Source plan uses the Apache 2.0 license. Artifact storage is not supported.