mlflow vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| mlflow | ollama | |
|---|---|---|
| Tagline | The open source AI engineering platform for agents, LLMs, and ML models | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 27k | 176k |
| Forks | 6.0k | 17k |
| Open issues | 2.0k | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks |
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
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go