Text Generation WebUI VS ChattyUI

Let’s have a side-by-side comparison of Text Generation WebUI vs ChattyUI to find out which one is better. This software comparison between Text Generation WebUI and ChattyUI is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Text Generation WebUI or ChattyUI fits your business.

Text Generation WebUI

Text Generation WebUI
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, llama.cpp (GGUF), Llama models.

ChattyUI

ChattyUI
Open-source, feature rich Gemini/ChatGPT-like interface for running open-source models (Gemma, Mistral, LLama3 etc.) locally in the browser using WebGPU. No server-side processing - your data never leaves your pc!

Text Generation WebUI

Launched 2023
Pricing Model Free
Starting Price
Tech used
Tag Text Generators

ChattyUI

Launched 2024-05
Pricing Model Free
Starting Price
Tech used Next.js,Netlify,Gzip,OpenGraph,Webpack,HSTS
Tag Personal Assistant,Data Analysis

Text Generation WebUI Rank/Visit

Global Rank 0
Country
Month Visit 0

Top 5 Countries

Traffic Sources

ChattyUI Rank/Visit

Global Rank 6025524
Country Paraguay
Month Visit 3309

Top 5 Countries

100%
Paraguay

Traffic Sources

4.57%
1.11%
0.36%
11.71%
53.94%
27.48%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Text Generation WebUI and ChattyUI, you can also consider the following products

Text Generator Plugin - Discover how TextGen revolutionizes language generation tasks with extensive model compatibility. Create content, develop chatbots, and augment datasets effortlessly.

LoLLMS Web UI - LoLLMS WebUI: Access and utilize LLM models for writing, coding, data organization, image and music generation, and much more. Try it now!

Open WebUI - User-friendly WebUI for LLMs (Formerly Ollama WebUI)

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

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