1&1 vs Shogun vs TensorFlow

Overview

1&1

Stacks61

Followers58

Votes3

Shogun

Stacks10

Followers42

Votes0

TensorFlow

Stacks3.9K

Followers3.5K

Votes106

GitHub Stars192.3K

Forks74.9K

1&1 vs Shogun vs TensorFlow: What are the differences?

Introduction

Compare and contrast the key differences between 1&1, Shogun, and TensorFlow in the context of website development.

1. Deployment of Web Applications:

1&1 allows users to easily deploy web applications using its user-friendly interface, while Shogun provides a drag-and-drop editor for creating e-commerce websites. On the other hand, TensorFlow is primarily a machine learning framework and not specifically designed for web application deployment.

2. Pricing Structure:

1&1 offers hosting services with different pricing packages based on the user's needs, while Shogun has a subscription-based pricing model for its e-commerce website builder. TensorFlow, as an open-source framework, is free to use for development but may require additional resources for hosting and deployment.

3. Machine Learning Capabilities:

TensorFlow, being a machine learning platform, offers advanced capabilities for neural networks, deep learning, and other AI-related tasks. In contrast, 1&1 and Shogun do not have built-in machine learning functionalities and are primarily focused on website development.

4. User Interface and Customization:

1&1 provides a user-friendly interface for setting up websites with pre-designed templates and customization options, while Shogun offers a highly customizable drag-and-drop editor for e-commerce sites. TensorFlow, being a framework, requires coding skills for customization and does not have as user-friendly of an interface.

5. Community Support and Resources:

TensorFlow has a large community of developers, extensive documentation, and online resources for support and learning. In comparison, 1&1 and Shogun may have customer support but lack the extensive community and resources available for TensorFlow.

6. Integration with Other Platforms:

1&1 and Shogun may have limitations in terms of integration with other platforms and services, while TensorFlow is highly flexible and can be integrated with various tools, libraries, and platforms to enhance its capabilities.

In Summary, 1&1 focuses on hosting and website deployment, Shogun specializes in e-commerce website building, while TensorFlow is a machine learning framework with advanced capabilities.

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CLI (Node.js)

Manual

Advice on 1&1, Shogun, TensorFlow

Developer at DCSIL

Oct 11, 2020

Decided

For data analysis, we choose a Python-based framework because of Python's simplicity as well as its large community and available supporting tools. We choose PyTorch over TensorFlow for our machine learning library because it has a flatter learning curve and it is easy to debug, in addition to the fact that our team has some existing experience with PyTorch. Numpy is used for data processing because of its user-friendliness, efficiency, and integration with other tools we have chosen. Finally, we decide to include Anaconda in our dev process because of its simple setup process to provide sufficient data science environment for our purposes. The trained model then gets deployed to the back end as a pickle.

99.4k views99.4k

Comments

Adithya

Student at PES UNIVERSITY

May 11, 2020

Needs advice

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

107k views107k

Comments

philippe

Research & Technology & Innovation | Software & Data & Cloud | Professor in Computer Science

Sep 13, 2020

Review

Hello Amina, You need first to clearly identify the input data type (e.g. temporal data or not? seasonality or not?) and the analysis type (e.g., time series?, categories?, etc.). If you can answer these questions, that would be easier to help you identify the right tools (or Python libraries). If time series and Python, you have choice between Pendas/Statsmodels/Serima(x) (if seasonality) or deep learning techniques with Keras.

Good work, Philippe

4.64k views4.64k

Comments

Detailed Comparison

1&1	Shogun	TensorFlow
As a recognized partner of VeriSign®, WebSite.ws, ICANN and more; we make domain name registration simple and seamless. Launch your next web project with 1&1 today!	Shogun is a drag and drop page builder for eCommerce platforms like Shopify and BigCommerce. Build beautiful custom pages for your store.	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.
FREE Private Domain Name Registration (not available for .us or .co and .ca);5 Page Starter Website Builder;E-Mail Account with 2GB Mailbox Space;24/7 Customer Support;Mobile Access;Even Easier Domain Transferring	Create re-usable templates; Javascript is rendered inside a script tag	-
Statistics
GitHub Stars -	GitHub Stars -	GitHub Stars 192.3K
GitHub Forks -	GitHub Forks -	GitHub Forks 74.9K
Stacks 61	Stacks 10	Stacks 3.9K
Followers 58	Followers 42	Followers 3.5K
Votes 3	Votes 0	Votes 106
Pros & Cons
Pros 1 Unreliable 1 Outdated 1 Expensive	No community feedback yet	Pros 32 High Performance 19 Connect Research and Production 16 Deep Flexibility 12 Auto-Differentiation 11 True Portability Cons 9 Hard 6 Hard to debug 2 Documentation not very helpful
Integrations
No integrations available	No integrations available	JavaScript

What are some alternatives to 1&1, Shogun, TensorFlow?

DomainRacer

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

Squarespace

Whether you need simple pages, sophisticated galleries, a professional blog, or want to sell online, it all comes standard with your Squarespace website. Squarespace starts you with beautiful designs right out of the box — each handcrafted by our award-winning design team to make your content stand out.

Namecheap

We provide a set of DNS servers spread across the US and Europe to deliver highly reliable DNS services to everyone. By choosing Namecheap.com as your domain registrar, you are choosing a highly reputable and reliable partner. Namecheap.com is rated 4.6 out of 5 - Based on 1,395 reviews via Google Checkout

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.

Keras

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

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

iwantmyname

With iwantmyname, you can purchase 250+ international domain extensions and easily connect your web addresses to the best apps and services on the web, including Google Apps, Squarespace, Bitly, and Ghost.

Readymag

Readymag—an online platform for website creation focused on design & creativity. Advanced typography. Powerful animations. Code injection & third-party tool integrations.

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1&1 vs Shogun vs TensorFlow: What are the differences?

Introduction

Compare and contrast the key differences between 1&1, Shogun, and TensorFlow in the context of website development.

1. Deployment of Web Applications:

2. Pricing Structure:

3. Machine Learning Capabilities:

4. User Interface and Customization:

5. Community Support and Resources:

6. Integration with Other Platforms:

In Summary, 1&1 focuses on hosting and website deployment, Shogun specializes in e-commerce website building, while TensorFlow is a machine learning framework with advanced capabilities.