Hands-On-Large-Language-Models vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Hands-On-Large-Language-Models | open-webui | |
|---|---|---|
| Tagline | Code repository for Hands-On Large Language Models | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 27k | 145k |
| Forks | 6.4k | 21k |
| Open issues | 37 | 338 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Other |
| Last pushed | Apr 24, 2026 | Jul 2, 2026 |
| Categories | Developer Tools, LLM Frameworks | LLM Frameworks, Inference & Serving |
Hands-On-Large-Language-Models
This repository contains the code and Jupyter Notebook examples from Jay Alammar and Maarten Grootendorst’s O'Reilly publication 'Hands-On Large Language Models', providing practical insights into using Large Language Models.
Jupyter Notebook
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