# MLflow

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/mlflow
- **Dataset:** https://optimly.ai/brand/mlflow.json
- **Markdown:** https://optimly.ai/brand/mlflow/llms.txt
- **Official website:** https://mlflow.org
- **Slug:** mlflow
- **Categories:** ai-machine-learning, developer-tools

## Overview

- **Tagline:** It is the most widely adopted open-source platform for ML experiment tracking with a library-agnostic design that works with any machine learning framework.
Source: Brand's website (https://mlflow.org) · 2026-10-04

- **Description:** MLflow is an open-source platform designed to manage the end-to-end machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. It provides a suite of tools that allow data scientists to track parameters, code versions, metrics, and output files across various environments.
Source: Brand's website (https://mlflow.org) · 2026-10-04

## Offerings

- **Core capabilities:**
  - MLflow Tracking
  - MLflow Projects
  - MLflow Models
  - MLflow Model Registry
  - MLflow AI Gateway (LLM)
Source: Brand's website (https://mlflow.org) · 2026-10-04

- **Pricing:** Free (Open Source)
Source: Brand's website (https://mlflow.org) · 2026-10-04

## Audience

- **Target industry:** Data Scientists, ML Engineers, Enterprise AI Teams, Academic Researchers
Source: Brand's website (https://mlflow.org) · 2026-10-04

## Landscape

- **Competitors:**
  - DVC (Data Version Control)
  - Weights & Biases (W&B)
  - Comet ML
  - Neptune.ai
  - Kubeflow Katib/Metadata
Source: Brand's website (https://mlflow.org) · 2026-10-04

Page last updated 2026-10-17.