Ship high-quality GenAI, fast
End-to-end tracking, observability, and evaluation for your GenAI applications—all in one platform.
Core features
Observability to debug and monitor
Debug with tracing
Debug and iterate on GenAI apps using MLflow tracing, which captures your app's entire execution—prompts, retrievals, tool calls.
Our open-source, OpenTelemetry-compatible SDK prevents vendor lock-in.
MLflow tracing
Monitor in production
Maintain production quality with continuous monitoring of quality, latency, and cost. Get real-time visibility through dashboards and trace explorers.
MLflow Monitoring
Core features
Evaluation to measure and improve quality
Accurately measure free-form language with LLM judges
Use LLM-as-a-judge metrics that mimic human expertise to assess and improve GenAI quality. Access pre-built judges for metrics like hallucination and relevance, or develop custom judges for your use case.
MLflow LLM judges
Drive offline improvements with production traffic
Adapt to user behavior by creating evaluation datasets from production logs. Test new prompts or app versions in development, ensuring optimal variants reach production.
Eval datasets
Use human feedback to improve quality
Collect expert feedback through web UIs and user ratings via APIs. Align your LLM-judge metrics with expert judgment to understand how your app should behave.
Human feedback
Core features
Lifecycle management to track and version
Prompt Registry
Version, compare, and manage prompt templates directly in the MLflow UI. Reuse prompts across application versions and view lineage showing which versions use each prompt.
MLflow LLM judges
Agent and application versioning
Version agents with their code, parameters, and evaluation metrics. MLflow complements Git by attaching evaluation metadata to Git commits.
MLflow LLM judges
Core features
Governance to manage and control
Unified data & AI governance
Unity Catalog integration provides centralized access control, lineage, and versioning for your data and AI assets.
Unity Catalog
Collaboration & Sharing
Share prompts, evaluation datasets, agents, and tools with your team using fine-grained permissions.
Collaboration & Sharing
Unlock downstream value with Databricks AI/BI
Leverage trace and evaluation data for analytics and business processes. Build rich performance dashboards, reports, and queries with Databricks AI/BI and SQL.
Delta Tables
Why us?
Why MLflow is unique
Open, Flexible, and Extensible
Open-source MLflow prevents vendor lock-in by integrating with the GenAI/ML ecosystem and using open protocols, adapting to your existing and future stacks.
Unified, End-to-End MLOps and AI Observability
MLflow provides a unified platform for the entire GenAI and ML lifecycle, simplifying workflows and boosting collaboration.
Framework neutrality
Unlike proprietary solutions that lock you into specific ecosystems, MLflow works seamlessly with all popular ML and GenAI frameworks.
Enterprise adoption
Created by Databricks, MLflow has become one of the most widely adopted MLOps tools with integration support from major cloud providers.