# MLflow

MLflow is an open source platform for debugging, evaluating, monitoring and optimizing LLM applications, agents and machine learning models. For generative AI it provides tracing built on OpenTelemetry, evaluation with built-in metrics and LLM judges, prompt versioning, and an AI Gateway for routing requests and controlling costs. For traditional ML it provides experiment tracking, a model registry and deployment tools. It is licensed under Apache 2.0 and can be self-hosted.

Page: https://slateindex.ai/brand/mlflow · data of 2026-11-02

## Facts

- Founded: 2018
- Headquarters: San Francisco, CA, United States
- Company type: Nonprofit
- Deployment: Self-hosted from the open source package, started with one command or Docker.
- Best for: Teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in.

## Products

- MLflow Tracing and Observability: Captures traces of LLM applications and agents, built on OpenTelemetry, to monitor quality, cost and safety.
- MLflow Evaluation: Runs evaluations with 50+ built-in metrics and LLM judges, and tracks quality metrics over time.
- Prompts and Optimization: Versions, tests and deploys prompts with lineage tracking, and optimizes prompts automatically.
- AI Gateway: Unified OpenAI-compatible gateway for LLM providers, with rate limits, fallbacks and cost control.
- Agent Server: FastAPI-based hosting for deploying agents to production endpoints.
- MLflow Tracking: Records and queries experiments, including code, data, config and results.
- Model Registry: Stores, annotates, discovers and manages models in a central repository.
- MLflow Models: Deploys machine learning models in diverse serving environments.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| MLOps Platforms | 1 of 61 | 50.9 | 65 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 48.5 | 88.9% |
| google_ai_mode | 60.6 | 85.2% |
| perplexity | 43.7 | 66.7% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “MLflow AI visibility profile”, https://slateindex.ai/brand/mlflow, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).