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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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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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