open-webui vs Large-Language-Model-Notebooks-Course
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| open-webui | Large-Language-Model-Notebooks-Course | |
|---|---|---|
| Tagline | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | Practical course about Large Language Models |
| Stars | 145k | 1.8k |
| Forks | 21k | 448 |
| Open issues | 338 | 0 |
| Language | Python | Jupyter Notebook |
| License | Other | MIT |
| Last pushed | Jul 2, 2026 | May 28, 2026 |
| Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Developer Tools, Model Training |
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
Large-Language-Model-Notebooks-Course
A Jupyter Notebook-based course focusing on hands-on projects and techniques for Large Language Models (LLMs) using tools like Hugging Face, LangChain, and various fine-tuning methods. It covers topics such as chatbots, code generation, and model evaluation.
Jupyter Notebook