Jozu Hub vs MLRun

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.

MLRun is an open-source framework for orchestrating machine-learning and generative-AI applications across their lifecycles. It automates data preparation, model tuning, customization, validation, and optimization for ML models and large language models over elastic resources. Its feature store can collect, transform, store, catalog, serve, and monitor data features. MLRun supports multi-cloud, hybrid, and on-premises deployments with built-in observability; documented options include Kubernetes, AWS, Azure AKS, and Iguazio’s managed service. The ecosystem includes storage and data systems such as S3, Google Cloud Storage, BigQuery, Snowflake, Kafka, Spark, and Dask, alongside PyTorch, TensorFlow, XGBoost, and ONNX. CI/CD integrations include GitHub Actions, GitLab CI/CD, Jenkins, and Kubeflow Pipelines. MLRun also lists model registry, experiment tracking, pipeline orchestration, model serving, data versioning, and managed compute. The open-source plan costs nothing and includes community support. Managed MLRun includes LDAP integration, user and group management, service authentication and authorization, secured API-gateway authentication, service monitoring, log management, and 24/7 enterprise support.