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Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
3PO
Yes
Baichuan-13B
Yes
CTRLpotato
Yes
Cline
Yes
DexProtector
Yes
GPT-5.1 Instant
Yes
GPT-6 Astra
Yes
GPT‑5-Codex
Yes
Gemini 3.5 Flash-Lite
Yes
Gemini 4 Pro
Yes
Integrations
3PO
No
Baichuan-13B
No
CTRLpotato
No
Cline
No
DexProtector
No
GPT-5.1 Instant
No
GPT-6 Astra
No
GPT‑5-Codex
No
Gemini 3.5 Flash-Lite
No
Gemini 4 Pro
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
Yes
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Kotlin
Country
United States
Website
kotlinlang.org
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No