MLflow on a Mac
ML experiment tracking & model registry (self-hosted) · ML Workbench
MLflow is the open-source platform for the ML lifecycle — experiment tracking, a model registry, projects and deployment, and now LLM tracing/evaluation. Install with pip (pip install mlflow) and run mlflow server for the tracking UI on :5000 (back it with a database + artifact store). Self-host or use a managed offering.
Run MLflow with FrontierStack
FrontierStack lists MLflow in its ML Workbench catalog. Install or connect it from one place, then monitor its status, ports and certificate, secure it with the firewall and Malware Audit, and back it up.
Run it all from one Mac app.
FrontierStack installs, monitors and secures the whole stack — locally and across your fleet — from a single native macOS app.
Download FrontierStack