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Description

Apache PredictionIO® is a robust open-source machine learning server designed for developers and data scientists to build predictive engines for diverse machine learning applications. It empowers users to swiftly create and launch an engine as a web service in a production environment using easily customizable templates. Upon deployment, it can handle dynamic queries in real-time, allowing for systematic evaluation and tuning of various engine models, while also enabling the integration of data from multiple sources for extensive predictive analytics. By streamlining the machine learning modeling process with structured methodologies and established evaluation metrics, it supports numerous data processing libraries, including Spark MLLib and OpenNLP. Users can also implement their own machine learning algorithms and integrate them effortlessly into the engine. Additionally, it simplifies the management of data infrastructure, catering to a wide range of analytics needs. Apache PredictionIO® can be installed as a complete machine learning stack, which includes components such as Apache Spark, MLlib, HBase, and Akka HTTP, providing a comprehensive solution for predictive modeling. This versatile platform effectively enhances the ability to leverage machine learning across various industries and applications.

Description

ML Kit offers mobile developers access to Google's extensive machine learning capabilities in a streamlined and user-friendly format. By integrating ML Kit into your iOS and Android applications, you can enhance user engagement, personalization, and overall utility with solutions specifically designed to operate seamlessly on devices. The on-device processing ensures rapid performance and enables real-time applications, such as analyzing camera input. Furthermore, ML Kit functions offline, allowing for the secure processing of images and text that must stay on the device. This technology is built on the same machine learning models that support Google's mobile services, combining cutting-edge algorithms with sophisticated processing techniques through easily accessible APIs to facilitate impactful functionalities in your applications. Additionally, it can identify handwritten text and recognize hand-drawn shapes, including over 300 languages, emojis, and fundamental shapes. This versatility makes ML Kit an invaluable tool for developers looking to innovate and elevate their mobile offerings.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Androidfy No 
Apache HBase Yes 
Apache Hadoop YARN Yes 
Apache Spark Yes 
Docker Yes 
Elasticsearch Yes 
Firebase No 
Java Yes 
MySQL Yes 
PHP Yes 
PostgreSQL Yes 
Python Yes 
Ruby Yes 
Scala Yes 

Integrations

AWS Marketplace No 
Androidfy Yes 
Apache HBase No 
Apache Hadoop YARN No 
Apache Spark No 
Docker No 
Elasticsearch No 
Firebase Yes 
Java No 
MySQL No 
PHP No 
PostgreSQL No 
Python No 
Ruby No 
Scala No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Apache

Country

United States

Website

predictionio.apache.org

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

developers.google.com/ml-kit

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Mobile App Development

Access Controls / Permissions No 
Any App Development Language No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Drag and Drop Editor No 
Enterprise Mobility (EMM/MAM) No 
FaceID and TouchID No 
For Consumer Apps No 
For Enterprise Apps No 
Integration Options No 
Mobile App Security No 
Multi-Factor Authentication (MFA) No 
Multiple Apps from Same Base No 
No Dependencies No 
No-Code No 
Reporting / Analytics No 
Single Sign-On (SSO) No 
Source Control No 
Visual Editor No 

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