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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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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