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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Kotlin is designed for ease of use, allowing you to develop robust applications right from the start. It seamlessly integrates with the Java ecosystem, enabling you to leverage your preferred JVM frameworks and libraries. You can share your application logic across web, mobile, and desktop platforms while ensuring a native experience for users. This approach not only saves time but also provides unlimited access to platform-specific features. Kotlin boasts strong community support and a rapidly expanding global network of contributors. With an extensive ecosystem filled with various community libraries, assistance is readily available—whether through community resources or direct inquiries to the Kotlin team. For mobile app development on both iOS and Android, Kotlin Multiplatform Mobile serves as an SDK, merging the advantages of cross-platform and native application creation. By maintaining a unified codebase for essential components like networking, data storage, and analytics, you can streamline the development process for your Android and iOS applications. This ultimately enhances productivity and fosters innovation in your projects.

Description

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Opus 4
Cleanup.pictures
CodeSonar
Falcon Mamba 7B
Falcon-7B
GPT-5 mini
GPT-5.4 mini
GPT-5.4 nano
GPT-5.5
Gemma 3
Helix Editor
IDWise
MarsCode
OneEntry
ProGuard
Qwen3
SecureFlag
SonarQube Cloud
Typora
bolt.diy

Integrations

Claude Opus 4
Cleanup.pictures
CodeSonar
Falcon Mamba 7B
Falcon-7B
GPT-5 mini
GPT-5.4 mini
GPT-5.4 nano
GPT-5.5
Gemma 3
Helix Editor
IDWise
MarsCode
OneEntry
ProGuard
Qwen3
SecureFlag
SonarQube Cloud
Typora
bolt.diy

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kotlin

Country

United States

Website

kotlinlang.org

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

Product Features

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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