gradio VS one-click-installers

Compare gradio vs one-click-installers and see what are their differences.

one-click-installers

Simplified installers for oobabooga/text-generation-webui. (by oobabooga)
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gradio one-click-installers
116 18
28,987 470
3.7% -
9.9 8.9
3 days ago 7 months ago
Python Python
Apache License 2.0 GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gradio

Posts with mentions or reviews of gradio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-01.

one-click-installers

Posts with mentions or reviews of one-click-installers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-02.

What are some alternatives?

When comparing gradio and one-click-installers you can also consider the following projects:

streamlit - Streamlit β€” A faster way to build and share data apps.

GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ

stable-diffusion-webui - Stable Diffusion web UI

gpt4all - gpt4all: run open-source LLMs anywhere

django-colorfield - :art: color field for django models with a nice color-picker in the admin.

KoboldAI

panel - Panel: The powerful data exploration & web app framework for Python

WizardVicunaLM - LLM that combines the principles of wizardLM and vicunaLM

micromamba-releases - Micromamba executables mirrored from conda-forge as Github releases

CustomTkinter - A modern and customizable python UI-library based on Tkinter

Llama-X - Open Academic Research on Improving LLaMA to SOTA LLM