MLflow

mlflow.org AI Infrastructure & MLOps Online toolOpen source

MLflow helps teams build AI products by debugging, evaluating, monitoring, and improving AI applications.

mlflow.org
MLflow homepage screenshot

About MLflow

MLflow is an open source platform for building, debugging, evaluating, monitoring, and improving AI applications, including LLM applications, agents, and traditional machine learning models. It captures traces of LLM and agent behavior using OpenTelemetry, runs systematic evaluations with built-in metrics and LLM judges, versions and optimizes prompts, and provides an OpenAI-compatible gateway for routing requests across LLM providers. An Agent Server offers FastAPI-based hosting with request validation, streaming, and built-in tracing.

The project is published under the Apache 2.0 license, is backed by the Linux Foundation, and is hosted on GitHub. The homepage states support for Python, TypeScript/JavaScript, Java, and R, and integrations with more than 100 tools. Typical setup starts a local MLflow server and adds logging code to an existing application. No pricing details are listed on the homepage, and the source does not describe geographic eligibility restrictions.

Key features

  • Capture full traces of LLM apps and agents via OpenTelemetry
  • Run evaluations with 50+ built-in metrics and LLM judges
  • AI-powered analysis of correctness, latency, execution, relevance and safety
  • Version, test and deploy prompts with lineage tracking and optimization algorithms
  • OpenAI-compatible AI gateway for routing, rate limits and fallbacks
  • FastAPI-based Agent Server with request validation, streaming and tracing
Best for: Teams building and operating LLM, agent, or machine learning applications that want an open source platform for tracing, evaluation, prompt management, and monitoring.
Good for
  • Open source under the Apache 2.0 license, backed by the Linux Foundation
  • Integrates with 100+ tools and supports Python, TypeScript/JavaScript, Java, and R
  • Works with any cloud, framework, or tool according to the site, with no vendor lock-in
Watch out for
  • No pricing information is provided on the homepage
  • The homepage does not describe hosted or managed service tiers

MLflow at a glance

Website
mlflow.org
Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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MLflow FAQ

What is MLflow?
It is described as an open source AI engineering platform for agents, LLMs, and ML models that lets teams debug, evaluate, monitor, and optimize production-quality AI applications while managing costs and access to models and data.
How do you get started with MLflow?
The homepage lists three steps: start an MLflow server (for example with the uvx mlflow server command; Docker setup is also available), add minimal logging code such as setting a tracking URI and enabling autolog, then run your code and explore traces and metrics in the MLflow UI.
What license does MLflow use?
MLflow is fully open source under the Apache 2.0 license and is backed by the Linux Foundation, according to the homepage.
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