Deploy MLflow in one click installation.
Open-source platform for tracking ML experiments, managing models, and monitoring LLM applications in production.
What you can build with MLflow
MLflow is the largest open-source AI engineering platform, with over 60 million monthly downloads. It covers the complete machine learning lifecycle: logging experiment parameters and metrics, comparing runs across configurations, registering models for deployment, and managing their progression through staging and production environments. Natively supported by PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, and dozens of other ML frameworks through autologging, it requires minimal code changes to adopt.
Version 3 expands MLflow into the LLM era with OpenTelemetry-based distributed tracing for agents and LLM calls, systematic evaluation with 50+ built-in judges, a prompt registry with full lineage tracking, and an AI Gateway that routes traffic across OpenAI, Anthropic, and other providers with rate limiting and cost controls. Self-hosting keeps all traces, artifacts, and model metadata on infrastructure you control.
Key features of MLflow
Experiment Tracking
Log parameters, metrics, tags, and artifacts for every training run. Compare experiments side-by-side to identify the best model configuration.
Model Registry
Centrally manage ML models across staging and production with version history, approval workflows, and team-level access controls.
LLM & Agent Tracing
Capture complete OpenTelemetry-based traces of every LLM call and agent step. Debug latency, token costs, and output quality in production.
LLM Evaluation
Run systematic evaluations using 50+ built-in metrics and LLM judges. Track quality regressions before they reach production users.
Prompt Registry
Version, test, and deploy prompts with full lineage tracking. Automatically optimize prompts using state-of-the-art algorithms to improve task performance.
AI Gateway
Route LLM requests across OpenAI, Anthropic, and other providers through a unified OpenAI-compatible API with rate limiting and cost controls.
Why run MLflow on Hostinger
Launch in one click
Get your application up and running instantly with a preconfigured setup. No manual installation or complex setup steps.
Security you can rely on
Keep your applications protected with a built-in firewall, DDoS protection, and continuous monitoring.
Built in Docker manager
Run and manage multiple Docker containers from one place. Deploy, update, and monitor your projects with ease.
Launch in one click
Get your application up and running instantly with a preconfigured setup. No manual installation or complex setup steps.
Security you can rely on
Keep your applications protected with a built-in firewall, DDoS protection, and continuous monitoring.
Built in Docker manager
Run and manage multiple Docker containers from one place. Deploy, update, and monitor your projects with ease.
Docker VPS hosting you can rely on
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