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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

PaddlePaddle, built on years of research and practical applications in deep learning by Baidu, combines a core framework, a fundamental model library, an end-to-end development kit, tool components, and a service platform into a robust offering. Officially released as open-source in 2016, it stands out as a well-rounded deep learning platform known for its advanced technology and extensive features. The platform, which has evolved from real-world industrial applications, remains dedicated to fostering close ties with various sectors. Currently, PaddlePaddle is utilized across multiple fields, including industry, agriculture, and services, supporting 3.2 million developers and collaborating with partners to facilitate AI integration in an increasing number of industries. This widespread adoption underscores its significance in driving innovation and efficiency across diverse applications.

Description

SaaSitive presents an all-encompassing tutorial that meticulously leads developers through the intricate journey of creating and launching a fully functional Software as a Service (SaaS) application from the ground up, utilizing both React and Django. The guide addresses critical elements of web application development, emphasizing frontend construction with React and Redux in TypeScript, alongside backend programming with Django and the Django Rest Framework in Python. It thoroughly explains user authentication mechanisms, encompassing login, logout, registration, email verification, and management of user accounts. Furthermore, the tutorial illustrates the process of incorporating payment systems like Paddle for handling monthly subscriptions, utilizing Celery for executing background tasks related to data collection, and applying data visualization techniques on both private and public dashboards. On top of these foundational topics, it delves into advanced subjects such as detecting anomalies through machine learning models, configuring email alerts for notifications and warnings, and guaranteeing a secure deployment process in the cloud. This comprehensive approach ensures that developers not only build their applications effectively but also understand the underlying principles of each component involved.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 No 
Amazon Web Services (AWS) No 
Celery No 
Cirrascale Yes 
Django No 
Docker No 
GitHub No 
Google No 
Graphcore Yes 
JavaScript No 
Let's Encrypt No 
NGINX No 
OpenVINO Yes 
Paddle No 
PostgreSQL No 
Python No 
React No 
Redux No 
Rosepetal AI Yes 
TypeScript No 

Integrations

Amazon EC2 Yes 
Amazon Web Services (AWS) Yes 
Celery Yes 
Cirrascale No 
Django Yes 
Docker Yes 
GitHub Yes 
Google Yes 
Graphcore No 
JavaScript Yes 
Let's Encrypt Yes 
NGINX Yes 
OpenVINO No 
Paddle Yes 
PostgreSQL Yes 
Python Yes 
React Yes 
Redux Yes 
Rosepetal AI No 
TypeScript Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$199 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

PaddlePaddle

Website

www.paddlepaddle.org.cn/

Vendor Details

Company Name

SaaSitive

Website

saasitive.com

Product Features

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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