MLflow

An open-source platform from Databricks that manages the entire machine-learning lifecycle with experiment tracking, model packaging, registry and deployment.

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Introduction

Overview

MLflow is an open-source platform created by Databricks to streamline every phase of the ML lifecycle—from experimentation to production deployment.

Key Capabilities

Experiment tracking and comparison
Reproducible ML projects & model packaging
Central Model Registry with CI/CD hooks
Built-in model serving & arbitrary deployment targets
Native support for GenAI/LLMOps workflows

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Information

Websitemlflow.org
AuthorsDatabricks
Published date2018/06/05

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