Top Related Projects
The Swift Programming Language
Empowering everyone to build reliable and efficient software.
The Go programming language
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
The Crystal Programming Language
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Quick Overview
Kotlin/Native is a technology for compiling Kotlin code to native binaries, which can run without a virtual machine. It is designed to allow compilation for multiple platforms including iOS, macOS, Android, Windows, Linux, and WebAssembly, enabling developers to use Kotlin for cross-platform development.
Pros
- Allows sharing code between different platforms, including mobile (iOS and Android) and desktop
- Provides seamless interoperability with existing native code and libraries
- Enables development of self-contained programs that don't require an additional runtime or virtual machine
- Supports coroutines for efficient asynchronous programming
Cons
- Still in active development, with some features and optimizations not yet fully implemented
- Limited ecosystem compared to more established native development platforms
- Learning curve for developers new to native development or coming from JVM-based Kotlin
- Performance may not always match hand-optimized native code in certain scenarios
Code Examples
- Hello World example:
fun main() {
println("Hello, Kotlin/Native!")
}
- Interoperability with C libraries:
import kotlinx.cinterop.*
import platform.posix.*
fun main() {
val time = time(null)
println("Current time: ${ctime(time)?.toKString()}")
}
- Coroutines usage:
import kotlinx.coroutines.*
fun main() = runBlocking {
launch {
delay(1000L)
println("World!")
}
print("Hello, ")
}
Getting Started
-
Install the Kotlin/Native compiler from the JetBrains website or use IntelliJ IDEA with Kotlin plugin.
-
Create a new Kotlin/Native project or add Kotlin/Native support to an existing project.
-
Write your Kotlin code, for example:
fun main() {
println("Hello, Kotlin/Native!")
}
- Compile the code using the Kotlin/Native compiler:
kotlinc-native hello.kt -o hello
- Run the resulting executable:
./hello
This will output: "Hello, Kotlin/Native!"
Competitor Comparisons
The Swift Programming Language
Pros of Swift
- More mature and established ecosystem for native development
- Wider adoption in the Apple developer community
- Stronger performance in certain scenarios, especially for iOS/macOS apps
Cons of Swift
- Limited cross-platform support compared to Kotlin Native
- Steeper learning curve for developers not familiar with Apple's ecosystem
- Less flexibility in terms of interoperability with existing Java/JVM codebases
Code Comparison
Swift:
let numbers = [1, 2, 3, 4, 5]
let doubled = numbers.map { $0 * 2 }
print(doubled)
Kotlin Native:
val numbers = listOf(1, 2, 3, 4, 5)
val doubled = numbers.map { it * 2 }
println(doubled)
Both Swift and Kotlin Native offer concise syntax for functional programming concepts like mapping. The code examples demonstrate similar approaches to doubling elements in a list, with minor syntactical differences.
Swift uses $0
as the default parameter name in closures, while Kotlin uses it
. Swift's let
keyword is equivalent to Kotlin's val
for declaring immutable variables. Both languages provide similar methods for working with collections and printing results.
Overall, the syntax and functionality are quite similar, making it relatively easy for developers to switch between the two languages if needed.
Empowering everyone to build reliable and efficient software.
Pros of Rust
- Mature ecosystem with a large number of libraries and tools
- Strong focus on memory safety and concurrency without garbage collection
- More established and widely adopted in systems programming
Cons of Rust
- Steeper learning curve due to complex ownership and borrowing concepts
- Longer compilation times, especially for large projects
- Less integration with existing Java/JVM ecosystems
Code Comparison
Rust:
fn main() {
let x = 5;
println!("The value of x is: {}", x);
}
Kotlin Native:
fun main() {
val x = 5
println("The value of x is: $x")
}
Both Rust and Kotlin Native aim to provide native compilation capabilities, but they have different approaches and target audiences. Rust focuses on systems programming and low-level control, while Kotlin Native extends the Kotlin ecosystem to native platforms.
Rust has a more established community and ecosystem, with a strong emphasis on memory safety and performance. It's particularly well-suited for systems programming and applications requiring fine-grained control over resources.
Kotlin Native, on the other hand, leverages the existing Kotlin language and provides seamless interoperability with Java and other JVM languages. It may be more approachable for developers already familiar with Kotlin or Java, and it offers easier integration with existing JVM-based projects.
The choice between the two depends on the specific project requirements, existing team expertise, and the desired balance between performance, safety, and development speed.
The Go programming language
Pros of Go
- Simpler language design with faster compilation times
- Excellent built-in concurrency support with goroutines and channels
- Larger ecosystem and more mature tooling
Cons of Go
- Less expressive type system compared to Kotlin
- Lack of generics (until Go 1.18) and some modern language features
- More verbose syntax in certain scenarios
Code Comparison
Kotlin Native:
fun main() {
println("Hello, Kotlin/Native!")
val numbers = listOf(1, 2, 3, 4, 5)
println(numbers.sum())
}
Go:
package main
import "fmt"
func main() {
fmt.Println("Hello, Go!")
numbers := []int{1, 2, 3, 4, 5}
sum := 0
for _, num := range numbers {
sum += num
}
fmt.Println(sum)
}
The code comparison showcases the syntax differences between Kotlin Native and Go. Kotlin's more concise syntax is evident in the sum()
function, while Go's approach is more explicit. Both languages have their strengths, with Kotlin offering more language features and Go providing simplicity and performance.
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Pros of V
- Simpler syntax and faster compilation times
- Built-in memory management without garbage collection
- Smaller language with fewer features, potentially easier to learn
Cons of V
- Less mature ecosystem and community compared to Kotlin
- Fewer libraries and third-party tools available
- Still in active development, may have more frequent breaking changes
Code Comparison
V code example:
fn main() {
println('Hello, World!')
numbers := [1, 2, 3, 4, 5]
sum := numbers.reduce(fn (acc, n) int { return acc + n })
println(sum)
}
Kotlin Native code example:
fun main() {
println("Hello, World!")
val numbers = listOf(1, 2, 3, 4, 5)
val sum = numbers.reduce { acc, n -> acc + n }
println(sum)
}
Both V and Kotlin Native aim to provide native compilation capabilities, but they differ in their approach and maturity. V focuses on simplicity and performance, while Kotlin Native leverages the established Kotlin ecosystem and JetBrains' backing. V's syntax is more C-like, whereas Kotlin Native maintains Kotlin's Java-inspired syntax. The choice between the two depends on project requirements, existing expertise, and desired language features.
The Crystal Programming Language
Pros of Crystal
- Syntax inspired by Ruby, making it familiar and easy to learn for Ruby developers
- Built-in concurrency support with fibers and channels
- Compile-time type checking for improved performance and safety
Cons of Crystal
- Smaller ecosystem and community compared to Kotlin
- Limited platform support (primarily Linux and macOS)
- Fewer IDE integrations and development tools
Code Comparison
Crystal:
def fibonacci(n)
return n if n <= 1
fibonacci(n - 1) + fibonacci(n - 2)
end
puts fibonacci(10)
Kotlin Native:
fun fibonacci(n: Int): Int {
return if (n <= 1) n else fibonacci(n - 1) + fibonacci(n - 2)
}
fun main() {
println(fibonacci(10))
}
Key Differences
- Crystal aims for Ruby-like syntax with static typing, while Kotlin Native extends Kotlin for native development
- Kotlin Native has stronger backing from JetBrains and the JVM ecosystem
- Crystal focuses on simplicity and ease of use, while Kotlin Native emphasizes interoperability with existing codebases
- Kotlin Native supports a wider range of platforms, including iOS and embedded systems
- Crystal's compile-time type checking can lead to faster runtime performance in some cases
Both projects offer unique advantages for developers seeking alternatives to traditional systems programming languages, with the choice depending on specific project requirements and developer preferences.
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Pros of Zig
- Designed for low-level systems programming with a focus on simplicity and safety
- Offers better memory management and error handling capabilities
- Provides a more modern and streamlined syntax compared to C
Cons of Zig
- Smaller ecosystem and community compared to Kotlin
- Less mature tooling and IDE support
- Steeper learning curve for developers coming from higher-level languages
Code Comparison
Zig:
const std = @import("std");
pub fn main() void {
std.debug.print("Hello, World!\n", .{});
}
Kotlin Native:
fun main() {
println("Hello, World!")
}
Summary
Zig is a low-level systems programming language that aims to improve upon C, offering better safety features and a more modern syntax. Kotlin Native, on the other hand, is an extension of Kotlin that allows compilation to native code, providing a more familiar environment for Java and Kotlin developers.
While Zig excels in low-level programming and offers fine-grained control over memory management, Kotlin Native benefits from a larger ecosystem, better tooling, and easier integration with existing Java/Kotlin codebases. The choice between the two depends on the specific project requirements and the development team's expertise.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual CopilotREADME
Kotlin/Native
The development of Kotlin/Native was moved to https://github.com/JetBrains/kotlin. Because of that, this repository was archived.
Instead of creating new issues in this repository or commenting the existing ones, please use other ways to communicate: https://github.com/JetBrains/kotlin-native/issues/4079
Top Related Projects
The Swift Programming Language
Empowering everyone to build reliable and efficient software.
The Go programming language
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
The Crystal Programming Language
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot