transformers vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | open-webui | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 162k | 145k |
| Forks | 34k | 21k |
| Open issues | 2.5k | 338 |
| Language | Python | Python |
| License | Apache-2.0 | Other |
| Last pushed | Jul 7, 2026 | Jul 2, 2026 |
| Categories | Data & Retrieval, Model Training, LLM Frameworks | LLM Frameworks, Inference & Serving |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
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