# MLflow

> MLflow — Open source AI platform for building, debugging, evaluating, and monitoring LLM applications, agents, and machine learning models

**Category:** saas / unknown  
**Domain:** mlflow.org  
**Source:** [Toneeto](https://www.toneeto.com/discover/mlflow.org)  
**Last updated:** March 27, 2026

## Changelog

### Mar 27, 2026 — Promotion

MLflow's most recent Google ad campaign ran until 2026-03-27

- MLflow's most recent Google ad campaign ran until 2026-03-27 _(90% confidence (cross-referenced))_

### Mar 16, 2026 — New Integration

MLflow 3.11.0rc0 added Native OpenTelemetry GenAI Convention Support; MLflow released version 3.11.0rc0 on 2026-03-16; MLflow 3.11.0rc0 introduced Automatic Issue Identification feature (+3 more)

- MLflow 3.11.0rc0 added Native OpenTelemetry GenAI Convention Support _(90% confidence (cross-referenced))_
- MLflow released version 3.11.0rc0 on 2026-03-16 _(90% confidence)_
- MLflow 3.11.0rc0 introduced Automatic Issue Identification feature _(90% confidence)_
- MLflow 3.11.0rc0 added Gateway Budget Alerts & Limits functionality _(90% confidence (cross-referenced))_
- MLflow 3.11.0rc0 introduced Trace Graph View for visualizing trace hierarchies _(90% confidence (cross-referenced))_
- MLflow 3.11.0rc0 integrated Opencode Tracing functionality _(90% confidence (cross-referenced))_

### Mar 5, 2026 — New Feature

MLflow released version 3.10.1 on 2026-03-05; MLflow 3.10.1 added try-it page on Gateway usage example modal; MLflow 3.10.1 added filtering for gateway experiments from experiment list page

- MLflow released version 3.10.1 on 2026-03-05 _(90% confidence)_
- MLflow 3.10.1 added try-it page on Gateway usage example modal _(90% confidence (cross-referenced))_
- MLflow 3.10.1 added filtering for gateway experiments from experiment list page _(90% confidence)_

### Feb 20, 2026 — Funding Round

MLflow 3.10.0 redesigned the navigation bar with workflow type selector; MLflow 3.10.0 added Gateway Usage Tracking with analytics; MLflow released version 3.10.0 on 2026-02-20 (+4 more)

- MLflow 3.10.0 redesigned the navigation bar with workflow type selector _(90% confidence (cross-referenced))_
- MLflow 3.10.0 added Gateway Usage Tracking with analytics _(90% confidence (cross-referenced))_
- MLflow released version 3.10.0 on 2026-02-20 _(90% confidence)_
- MLflow 3.10.0 introduced Organization Support in MLflow Tracking Server _(90% confidence (cross-referenced))_
- MLflow 3.10.0 added Multi-turn Evaluation & Conversation Simulation _(90% confidence (cross-referenced))_
- MLflow 3.10.0 introduced Trace Cost Tracking functionality _(90% confidence (cross-referenced))_
- MLflow 3.10.0 introduced MLflow Demo Experiment feature _(90% confidence (cross-referenced))_

### Jan 29, 2026 — New Feature

MLflow 3.9.0 added Trace Overview Dashboard with performance insights; MLflow released version 3.9.0 on 2026-01-29; MLflow 3.9.0 introduced MLflow Assistant, an in-product chatbot (+2 more)

- MLflow 3.9.0 added Trace Overview Dashboard with performance insights _(90% confidence (cross-referenced))_
- MLflow released version 3.9.0 on 2026-01-29 _(90% confidence)_
- MLflow 3.9.0 introduced MLflow Assistant, an in-product chatbot _(90% confidence (cross-referenced))_
- MLflow 3.9.0 introduced Online Monitoring with LLM Judges _(90% confidence (cross-referenced))_
- MLflow 3.9.0 added Judge Builder UI for custom metrics _(90% confidence (cross-referenced))_

### Feb 10, 2025 — Promotion

MLflow's earliest Google ad campaign started on 2025-02-10

- MLflow's earliest Google ad campaign started on 2025-02-10 _(90% confidence (cross-referenced))_

## Pricing

| Plan | Monthly | Annual (per mo) | Type |
|------|---------|-----------------|------|
| Open Source | $0 | $0 | Free |

## Competitors

- [Kubeflow](https://www.toneeto.com/discover/kubeflow.org)
- [Weights & Biases](https://www.toneeto.com/discover/wandb.ai)
- [Apache MXNet](https://www.toneeto.com/discover/mxnet.apache.org)
- [Apache Airflow](https://www.toneeto.com/discover/airflow.apache.org)
- [Kedro](https://www.toneeto.com/discover/kedro.org)

## Audience Segments

### startup_team (50% fit)

**Use case:** Mlflow for small teams
**Why:** Insufficient evidence for specific segmentation, defaulting to startup_team
**Key considerations:** ease of use, value for money

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*Data verified by [Toneeto](https://www.toneeto.com/discover/mlflow.org). JSON available at [/api/co/mlflow.org](https://www.toneeto.com/api/co/mlflow.org).*