# MLflow: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 25 judge labels across 1 categories by 12 of 12 models. Page: https://it-ai-index.com/vendors/mlflow/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| ML platforms | 2% | 13 | 12% | 25 |

## What the models said for it

- "Use highly flexible, industry-standard MLOps tooling like MLflow or Weights & Biases" (Gemini 3.5 Flash, ML platforms)
- "starting with a combination of MLflow (for MLOps)" (Kimi K2, ML platforms)
- "If you prefer an open-source approach or have specific customization needs, MLflow is a strong alternative." (Mistral Small, ML platforms)
- "The industry-standard open-source tool for tracking experiments, managing model registries, and packaging code." (Gemini 3.5 Flash, ML platforms)

## And against it

- "Avoid using older versions of MLflow for production environments." (GLM 4.7 FlashX, ML platforms)
- "Multiple critical vulnerabilities (e.g., CVEs 2024-37052 to 37060 in MLflow for RCE via unsafe deserialization" (Grok 4.1 Fast, ML platforms)
- "flagged in 2024\u201325 threat reports for deserialization (pickle file) vulnerabilities" (DeepSeek V4 Flash, ML platforms)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.