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  5. GitHub Pages vs Gradio

GitHub Pages vs Gradio

OverviewComparisonAlternatives

Overview

GitHub Pages
GitHub Pages
Stacks17.7K
Followers13.0K
Votes1.1K
Gradio
Gradio
Stacks37
Followers24
Votes0
GitHub Stars40.4K
Forks3.1K

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Detailed Comparison

GitHub Pages
GitHub Pages
Gradio
Gradio

Public webpages hosted directly from your GitHub repository. Just edit, push, and your changes are live.

It allows you to quickly create customizable UI components around your TensorFlow or PyTorch models, or even arbitrary Python functions. Mix and match components to support any combination of inputs and outputs.

Blogging with Jekyll; Custom URLs; Automatic Page Generator
Customizable Components; Multiple Inputs and Outputs; Sharing Interfaces Publicly & Privacy
Statistics
GitHub Stars
-
GitHub Stars
40.4K
GitHub Forks
-
GitHub Forks
3.1K
Stacks
17.7K
Stacks
37
Followers
13.0K
Followers
24
Votes
1.1K
Votes
0
Pros & Cons
Pros
  • 290
    Free
  • 217
    Right out of github
  • 185
    Quick to set up
  • 108
    Instant
  • 107
    Easy to learn
Cons
  • 4
    Not possible to perform HTTP redirects
  • 3
    Supports only Jekyll
  • 3
    Limited Jekyll plugins
  • 1
    Jekyll is bloated
No community feedback yet
Integrations
GitHub
GitHub
Jupyter
Jupyter
TensorFlow
TensorFlow
PyTorch
PyTorch
Matplotlib
Matplotlib
scikit-learn
scikit-learn

What are some alternatives to GitHub Pages, Gradio?

DomainRacer

DomainRacer

It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.

Netlify

Netlify

Netlify is smart enough to process your site and make sure all assets gets optimized and served with perfect caching-headers from a cookie-less domain. We make sure your HTML is served straight from our CDN edge nodes without any round-trip to our backend servers and are the only ones to give you instant cache invalidation when you push a new deploy. Netlify is also the only static hosting service with integrated continuous deployment.

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Vercel

Vercel

A cloud platform for serverless deployment. It enables developers to host websites and web services that deploy instantly, scale automatically, and require no supervision, all with minimal configuration.

Surge

Surge

Surge makes it easy for developers to deploy projects to a production-quality CDN through Grunt, Gulp, npm.

Webflow

Webflow

Webflow is a responsive design tool that lets you design, build, and publish websites in an intuitive interface. Clean code included!

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Divshot

Divshot

Divshot makes building and hosting front-end web applications simple. Build locally and deploy using a simple command-line interface. Divshot supports multiple environments, pushState routing, atomic deploys, and more.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

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