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5 Best Kotlin Libraries/Packages for Building Native Apps

5 minutes, 7 seconds read

About Kotlin

Kotlin is a modern statically typed programming language that boosts productivity and increases developer happiness. It runs on the Java Virtual Machine and is completely interoperable with the Java programming language. It is an officially supported language for developing Android apps, along with Java. Developers are finding Kotlin libraries more reliable as compared to other open-source platforms as they improve productivity and make the overall code base more stable.

After Google officially launched Kotlin, several developers have started taking interest in this new language as it allows them to save hours of development time.

Reasons why Kotlin is gaining popularity over Java:

  • It is structured and presents a familiar development tooling that is meant to boost developers’ productivity.
  • It is a good compiler.
  • Kotlin enables seamless integration with the existing infrastructure as it is compatible with all Java frameworks and libraries. It is designed in a manner to integrate easily with Marven and Gradle build systems.
  • It provides an enhanced run-time performance.

Kotlin Libraries:

Below are some major Kotlin libraries that will help developers to make the right choice, as per their needs:

Anko

It is considered one of the popular Android libraries as it is written in Kotlin but maintained by JetBrains. Anko makes the code clean and easy to understand. It is lightweight and also helps to avoid Boilerplate code. The name Anko is derived from the first two letters of (An)droid and (Ko)tlin. The library has four diverse modules that include:

Layouts: Helps to write dynamic Android layouts and is fast and has type-safe approach;
SQLite: A Kotlin-specific query DSL and parser for Android SQLite with lot simpler way;
Commons: A lightweight library is full of helpers for intents, dialogs, logging, resources, and more;
Coroutines: Utilities based on the new kotlinx.coroutines library

Dynamic layout using Anko Layouts

Dynamic kotlin layout using Anko Layouts
Dynamic kotlin layout using Anko Layouts

It is best to make use of this library while trying to develop Kotlin projects.
For more details about Anko, refer to Github.

Kotlin Coroutines

Some of the APIs begin long-running operations like network IO, file IO, CPU or GPU-intensive work and need the caller to block until they finish. But Kotlin Coroutines helps to avoid blocking thread and replaces it with the more convenient operation known as suspension of coroutines which helps in writing cleaner and more concise app code. Kotlin Coroutines allows users to develop asynchronous programs in a very simple manner, which are primarily based on the concept of Continuation-passing style programming.
Coroutines is a recommended solution for asynchronous programming that includes:

Lightweight: Due to support for suspension,which doesn’t block the thread where the coroutine is running, it is possible to run many coroutines on a single thread. Suspending saves memory over blocking and also supports many concurrent operations.

Fewer memory leaks: to run operations within a scope, make use of structured concurrency.

Built-in cancellation support: by using the running coroutine hierarchy, Cancellation is automatically propagated.

Jetpack integration: the extensions included by several Jetpack libraries provide full coroutine support. Some libraries also provide their own coroutine scope that can be used for structured concurrency.

To begin with Coroutine, refer to the example below that is making use of the launch {} function:

Kotlin Coroutine using the launch{} function
Here we start a coroutine that waits for 1 second and prints Hello.

For more details about Kotlin Coroutines, refer to Github

KAndroid

KAndroid is a Kotlin for Android library that focuses on efficiency and delivers useful extensions to eliminate boilerplate code in Android SDK. This library can be of a huge help in various functions like Handler implementation, ViewPager Implementation, SearchView query text change, TextWatcher, SeekBar extension, using system services, Using Intents, Logging, loading animation from XML, etc. Making use of this library is helpful as much code is not needed to be written for common function.  

Refer to the example below:

KAndroid- Kotlin for Android library

RxKotlin

This is the most lightweight library as compared to other Android libraries because it adds convenient extension functions to RxJava, which allows it to utilize RxJava and Kotlin exceptionally. As it makes use of RxJava with Kotlin, it gathers the conveniences in one centralized library and standardized conventions. However, Kotlin has language features like extension functions, which streamlines usage of RxJava even more.

Refer to the example below:

RxKotlin


Klaxon

Klaxon is another lightweight android Kotlin library to parse JSON in Kotlin.

For example,

Klaxon
Klaxon code

The values extracted from a valid JSON file can be of the following type:

  • Int
  • Long
  • BigInteger
  • String
  • Double
  • Boolean
  • JsonObject
  • JsonArray

JsonObject and JsonArray behave differently. While JsonObject behaves like a Map, JsonArray behaves like a List. Once a file is analyzed, it can be cast to the type that one wants. 

For more details about klaxon, refer to Github.

Conclusion

To build a scalable Android application, above are the top recommended Kotlin libraries that Android developers can utilize for the development process. There is no need to develop everything from scratch as these libraries will help developers to save hours of time.

For more information, check out ktlint and KBinding.

About the author:

Burhanuddin Zummarwala is a Senior Software Engineer at Mantra Labs. Burhanuddin likes coding, travelling, trekking, sports (especially cricket and TT) and loves exploring new technologies.

Further reading:

  1. 8 Best Ways to Reduce Android App Size
  2. WWDC20: 6 Latest Additions in SwiftUI for iOS Developers
  3. 5 Key Takeaways for iOS Developers from WWDC20
  4. 5 Reasons Why Flutter Framework is Better than React Native

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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