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  5. Algolia Recommend vs GitHub Pages

Algolia Recommend vs GitHub Pages

OverviewComparisonAlternatives

Overview

GitHub Pages
GitHub Pages
Stacks17.7K
Followers13.0K
Votes1.1K
Algolia Recommend
Algolia Recommend
Stacks2
Followers5
Votes0

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

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Detailed Comparison

GitHub Pages
GitHub Pages
Algolia Recommend
Algolia Recommend

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

It is a robust & flexible API to build unique product recommendations into any digital ecommerce experience. Developers can use a simple and flexible API to build machine learning powered recommendations on your company’s digital storefronts using as few as 6 lines of code, driving better conversions and increasing average order value. It comes with advanced flexibility so you can completely customize the recommendations displayed on your online stores.

Blogging with Jekyll; Custom URLs; Automatic Page Generator
Filter, merchandise, rank and contextualize recommendations to fit your brand and unique business goals; Advanced front-end libraries, API clients, and extensive documentation to help developers build, deploy, and maintain with ease; Using Algolia Search + Recommend, leverage the same product catalog, merchandising logic, and analytics across search, navigation and recommendations; Full control, insights for everyone on your team
Statistics
Stacks
17.7K
Stacks
2
Followers
13.0K
Followers
5
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
Shopify
Shopify
Netlify
Netlify
Python
Python
React
React
JavaScript
JavaScript
Ruby
Ruby
PHP
PHP
Vue.js
Vue.js

What are some alternatives to GitHub Pages, Algolia Recommend?

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.

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!

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.

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

GitLab Pages

GitLab Pages

Host your static websites on GitLab.com for free, or on your own GitLab Enterprise Edition instance. Use any static website generator: Jekyll, Middleman, Hexo, Hugo, Pelican, and more

Firebase Hosting

Firebase Hosting

It is production-grade web content hosting for developers. With a single command, you can quickly deploy web apps and serve both static and dynamic content to a global CDN (content delivery network). You can also pair it with Cloud Functions or Cloud Run to build and host microservices.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

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