What it does
MLflow helps teams keep track of AI work. For apps built on large language models and agents, it records traces of what the AI did, runs evaluations of answer quality, stores and improves prompts, and offers a gateway that manages access to different AI providers and their costs.
For traditional machine learning, it tracks experiments, the settings and results of each training run, and helps manage and deploy models.
It works with many programming languages and AI providers, and runs as a server with a web dashboard.
Who it's for
Data scientists, machine learning engineers and teams putting AI into production.
Can I use it without coding?
Developers only. You start a server with a command and add tracking to your code. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe