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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 Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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