petals vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| petals | open-webui | |
|---|---|---|
| Tagline | Run LLMs at home, BitTorrent-style | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 10k | 145k |
| Forks | 621 | 21k |
| Open issues | 112 | 339 |
| Language | Python | Python |
| License | MIT | Other |
| Last pushed | Sep 7, 2024 | Jul 2, 2026 |
| Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks |
petals
Petals enables running and fine-tuning large language models locally with distributed computing techniques, offering up to 10x faster performance compared to offloading tasks.
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