Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Koin streamlines dependency injection (DI) and enhances the experience for developers working within the Kotlin ecosystem. It enables the creation of various applications, spanning from Android mobile to backend Ktor server implementations. Designed to meet the needs of even the most challenging applications, Koin has earned the trust of developers globally. As an open-source framework specifically crafted for Kotlin, Koin features an intuitive domain-specific language (DSL) and a lightweight container that simplifies dependency management for any Kotlin application or SDK. With Koin, developers can effortlessly set up their dependency injection through its straightforward API and Kotlin DSL, allowing them to concentrate on developing complex Android mobile applications rather than getting bogged down by their tools. This framework integrates seamlessly with the broader Kotlin ecosystem, leveraging Kotlin's capabilities to facilitate easy dependency injection across multiple platforms. Already adopted by thousands of companies worldwide, Koin is well-equipped to handle scaling in production environments while continuing to evolve with developer needs. By providing a user-friendly approach to dependency injection, Koin empowers developers to innovate and deliver high-quality applications efficiently.
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
Integrations
Kotlin
Android
C++
Google AI Edge Gallery
JAX
Java
Jetpack Compose
Kotzilla
Ktor
Objective-C
Integrations
Kotlin
Android
C++
Google AI Edge Gallery
JAX
Java
Jetpack Compose
Kotzilla
Ktor
Objective-C
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
Kotzilla
Founded
2022
Country
France
Website
kotzilla.io/koin
Vendor Details
Company Name
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)