GitHub Pages vs Lobe
Overview
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.
CLI (Node.js)
Manual
Detailed Comparison
Public webpages hosted directly from your GitHub repository. Just edit, push, and your changes are live. | An easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code. |
Blogging with Jekyll; Custom URLs; Automatic Page Generator | Build - Drag in your training data and Lobe automatically builds you a custom deep learning model. Then refine your model by adjusting settings and connecting pre-trained building blocks.; Train - Monitor training progress in real-time with interactive charts and test results that update live as your model improves. Cloud training lets you get results quickly, without slowing down your computer.; Ship - Export your trained model to TensorFlow or CoreML and run it directly in your app on iOS and Android. Or use the easy-to-use Lobe Developer API and run your model remotely over the air. |
Statistics | |
Stacks 17.7K | Stacks 1 |
Followers 13.0K | Followers 18 |
Votes 1.1K | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to GitHub Pages, Lobe?
DomainRacer
It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.
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 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
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 makes it easy for developers to deploy projects to a production-quality CDN through Grunt, Gulp, npm.
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 is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
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 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
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
