Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
Elevate your Android development teams by utilizing virtual devices that offer exceptional scalability. These devices support all major testing frameworks such as ADB, Appium, Espresso, and Robotium. They seamlessly integrate with leading continuous integration platforms like CircleCI, Bitrise, and Terraform. By eliminating nested virtualization, you can enhance the speed of your testing and operational processes, regardless of whether you have a dedicated GPU. Gain immediate access to limitless virtual devices that can operate concurrently for test sharding or parallel execution. The offering spans from Android 4.4 to the most recent versions, accommodating various screen sizes and supporting numerous platforms, including our own infrastructure as well as AWS, Google, Azure, and Alibaba. You maintain complete control over your infrastructure without any maintenance requirements, ensuring top-tier security and dependability for enterprise applications. Experience infinite scalability through cloud provider data centers, with dedicated GPUs available for select devices. Furthermore, you can emulate over 3000 unique virtual Android device configurations, including variations in Android versions, screen dimensions, and hardware capabilities, thereby enhancing your testing versatility. This comprehensive approach ensures that your Android teams are equipped with all the tools necessary for streamlined and effective development workflows.
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
Integrations
AWS Marketplace
Yes
Agilitest
Yes
Alibaba Cloud
Yes
Amazon Web Services (AWS)
Yes
Azure Marketplace
Yes
Bitrise
Yes
CircleCI
Yes
CloudBeat
Yes
Docker
Yes
Espresso
Yes
Integrations
AWS Marketplace
No
Agilitest
No
Alibaba Cloud
No
Amazon Web Services (AWS)
No
Azure Marketplace
No
Bitrise
No
CircleCI
No
CloudBeat
No
Docker
No
Espresso
No
Pricing Details
$0.05 per minute
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
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)
Yes
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Genymobile
Founded
2011
Country
France
Website
www.genymotion.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
developers.google.com/ml-kit
Product Features
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
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