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  5. PrestaShop vs TensorFlow

PrestaShop vs TensorFlow

OverviewDecisionsComparisonAlternatives

Overview

PrestaShop
PrestaShop
Stacks507
Followers200
Votes138
GitHub Stars8.8K
Forks5.0K
TensorFlow
TensorFlow
Stacks3.9K
Followers3.5K
Votes106
GitHub Stars192.3K
Forks74.9K

PrestaShop vs TensorFlow: What are the differences?

What is PrestaShop? Free, Open Source eCommerce Solution powering 185,000 active stores worldwide. PrestaShop is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, and is fully responsive (both front- and back-office).

What is TensorFlow? Open Source Software Library for Machine Intelligence. 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.

PrestaShop can be classified as a tool in the "Ecommerce" category, while TensorFlow is grouped under "Machine Learning Tools".

"Free" is the top reason why over 18 developers like PrestaShop, while over 16 developers mention "High Performance" as the leading cause for choosing TensorFlow.

PrestaShop is an open source tool with 3.8K GitHub stars and 3.24K GitHub forks. Here's a link to PrestaShop's open source repository on GitHub.

Uber Technologies, 9GAG, and Postmates are some of the popular companies that use TensorFlow, whereas PrestaShop is used by Lepide Software, Pulaaa Maroc, and Namocart.com. TensorFlow has a broader approval, being mentioned in 200 company stacks & 135 developers stacks; compared to PrestaShop, which is listed in 13 company stacks and 10 developer stacks.

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Advice on PrestaShop, TensorFlow

Adithya
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

Detailed Comparison

PrestaShop
PrestaShop
TensorFlow
TensorFlow

PrestaShop is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, and is fully responsive (both front- and back-office).

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.

Catalog Management;Product Displays;Site Management;S.E.O;Checkout;Shipping;Payments;Marketing;Client Account;Translations;Security;Localization/Taxes;Analytics and Reporting
-
Statistics
GitHub Stars
8.8K
GitHub Stars
192.3K
GitHub Forks
5.0K
GitHub Forks
74.9K
Stacks
507
Stacks
3.9K
Followers
200
Followers
3.5K
Votes
138
Votes
106
Pros & Cons
Pros
  • 21
    Free
  • 15
    Customisable
  • 15
    Powerful
  • 14
    Easy to understand code
  • 13
    Scalable
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
PayPal
PayPal
Stripe
Stripe
Google Analytics
Google Analytics
Amazon EC2
Amazon EC2
Mailjet
Mailjet
JavaScript
JavaScript

What are some alternatives to PrestaShop, TensorFlow?

Magento

Magento

Magento Community Edition is perfect if you’re a developer who wants to build your own solution with flexible eCommerce technology. You can modify the core code and add a wide variety of features and functionality.

Shopify

Shopify

Shopify powers tens of thousands of online retailers including General Electric, Amnesty International, CrossFit, Tesla Motors, Encyclopaedia Britannica, Foo Fighters, GitHub, and more. Our platform allows users to easily and quickly create their own online store without all the technical work involved in developing their own website, or the huge expense of having someone else build it. Shopify lets merchants manage all aspects of their shops: uploading products, changing the design, accepting credit card orders, and viewing their incoming orders and completed transactions.

Spree

Spree

The Spree storefront offers a full feature set and is built on common standards, so you don't have to compromise speed to market, efficiency or innovation. The modular platform allows you to easily configure, supplement or replace any functionality you need, so that you can build the exact storefront that you want.

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.

Saleor

Saleor

Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular front end powered by a GraphQL API and written with React and TypeScript.

Keras

Keras

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

Kubeflow

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

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

nopCommerce

nopCommerce

It is the open-source eCommerce solution. It has everything you need to get started in selling physical and digital goods over the internet.

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