mlflow vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| mlflow | open-webui | |
|---|---|---|
| Tagline | The open source AI engineering platform for agents, LLMs, and ML models | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 27k | 145k |
| Forks | 6.0k | 21k |
| Open issues | 2.0k | 338 |
| Language | Python | Python |
| License | Apache-2.0 | Other |
| Last pushed | Jul 7, 2026 | Jul 2, 2026 |
| Categories | Evaluation & Observability, LLM Frameworks | LLM Frameworks, Inference & Serving |
mlflow
MLflow is an open-source platform designed to help teams manage the lifecycle of both traditional machine learning (ML) and large language model (LLM) applications. It supports debugging, evaluation, monitoring, optimization of AI applications while managing costs and securing data access.
Python
open-webui
Open WebUI is an extensible and feature-rich self-hosted AI platform that supports various LLM runners like Ollama and OpenAI-compatible APIs. It includes a built-in inference engine for RAG operations.
Python