// Trace & monitor
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The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Open source Maintained For developers
IN ONE PARAGRAPH
mlflow is the open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Good for: Developers and teams who want to trace & monitor.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install mlflownpm install @mlflow/core - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. ★ 23k lmnr Laminar - open-source observability platform purpose-built for AI agents. YC S24. ★ 3.4k openlit OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL. ★ 2.8k langfuse 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform. ★ 36k netdata The fastest path to AI-powered full stack observability, even for lean teams. ★ 81k