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mlflow

Free

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 controllin

Model APIsFreeFree tier
Type
Open Source

About mlflow

MLFlow is an open-source platform that makes it easier for data scientists and engineers to manage their machine learning projects. It provides a complete suite of tools for tracking models, code, data, and parameters, as well as automating machine learning workflows. With MLFlow, you can easily log, store, and visualize model training and evaluation metrics, so you can quickly identify trends and make informed decisions. You can also deploy models to production environments in a secure and reliable manner, ensuring smooth transition from development to production. With its intuitive user interface, MLFlow makes it easy to get started and get the most out of your machine learning projects. Whether you’re a beginner or an experienced user, MLFlow makes it simple to monitor, deploy, and manage your ML models, so you can achieve faster results with less hassle.

Key Features

Track & store models, code, data & parameters.
Visualize & analyze training & evaluation metrics.
Securely deploy models to production environments.

Pros & Cons

Pros
  • 100% open source with Apache 2.0 license, free forever
  • No vendor lock-in; works with any cloud, framework, or tool
  • Production ready, battle-tested by Fortune 500 companies
  • Full visibility into all AI applications and agents with built-in tracing
  • Large community (20K+ GitHub stars, 900+ contributors)
  • Seamless integration with 100+ tools including LangChain, OpenAI, PyTorch
Cons
  • Primarily designed for LLM and agent workflows; traditional ML features may be less comprehensive
  • Requires running a server for production use, which adds infrastructure overhead

Best For

Track & store models, code, data & parameters.Visualize & analyze training & evaluation metrics.Securely deploy models to production environments.

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FAQ

Is MLflow free?
Yes, MLflow is 100% open source under the Apache 2.0 license. It is forever free with no strings attached.
What frameworks and languages does MLflow support?
MLflow integrates with 100+ tools including LangChain, OpenAI, PyTorch, and more. It supports Python, TypeScript/JavaScript, Java, and R.
How do I get started with MLflow?
Start the MLflow server with a single command (`uvx mlflow server`), add minimal logging code to your application, then explore traces and evaluations in the UI.
Can I deploy agents with MLflow?
Yes, the MLflow Agent Server provides FastAPI-based hosting with automatic request validation, streaming support, and built-in tracing for one-command deployment to production.
Does MLflow support LLM evaluation?
Yes, it provides systematic evaluations with 50+ built-in metrics and LLM judges, plus AI-powered analysis for correctness, latency, safety, and other dimensions.