ollama vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | llm-app | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 176k | 59k |
| Forks | 17k | 1.4k |
| Open issues | 3.4k | 10 |
| Language | Go | Jupyter Notebook |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | AI Agents, LLM Frameworks | Data & Retrieval, LLM Frameworks |
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
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.
Jupyter Notebook