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  5. Datatron vs GitHub Pages

Datatron vs GitHub Pages

OverviewComparisonAlternatives

Overview

GitHub Pages
GitHub Pages
Stacks17.7K
Followers13.0K
Votes1.1K
Datatron
Datatron
Stacks0
Followers10
Votes0

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Detailed Comparison

GitHub Pages
GitHub Pages
Datatron
Datatron

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

Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment.

Blogging with Jekyll; Custom URLs; Automatic Page Generator
Explore models built and uploaded by your Data Science team, all from one centralized repository; Create and scale model deployments in just a few clicks. Deploy models developed in any framework or language; Make better business decisions to save your team time and money. Monitor model performance and detect model decay as it happens; Spend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than ever; Manage multivariate models through A/B testing for live inference and batch tasks; Apply business logic to your model prediction results. Create workflows for your models using multiple sources and languages
Statistics
Stacks
17.7K
Stacks
0
Followers
13.0K
Followers
10
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
TensorFlow
TensorFlow
scikit-learn
scikit-learn
H2O
H2O

What are some alternatives to GitHub Pages, Datatron?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

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.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

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.

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