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dotnet logocoreclr

CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.

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Quick Overview

The dotnet/coreclr repository is the core runtime for .NET Core. It contains the runtime implementation for .NET Core, including the RyuJIT compiler, garbage collector, and core .NET libraries. This repository is a fundamental component of the .NET ecosystem and is essential for running .NET applications across various platforms.

Pros

  • Cross-platform support (Windows, macOS, Linux)
  • Open-source with a large and active community
  • High performance and scalability
  • Continuous improvements and updates

Cons

  • Steep learning curve for contributors
  • Large codebase can be overwhelming for newcomers
  • Some platform-specific features may not be available on all supported operating systems
  • Requires careful management of breaking changes due to its widespread use

Code Examples

As dotnet/coreclr is the core runtime implementation and not a typical code library, providing code examples for direct usage is not applicable. However, here are a few examples of how developers might interact with or utilize the runtime:

  1. Configuring garbage collection:
using System.Runtime;

GCSettings.LargeObjectHeapCompactionMode = GCLargeObjectHeapCompactionMode.CompactOnce;
GCSettings.LatencyMode = GCLatencyMode.LowLatency;
  1. Using hardware intrinsics:
using System.Runtime.Intrinsics.X86;

if (Avx2.IsSupported)
{
    // Use AVX2 instructions for optimized performance
    Vector256<int> result = Avx2.Add(vector1, vector2);
}
  1. Interop with native code:
using System.Runtime.InteropServices;

[DllImport("NativeLibrary.dll")]
static extern int SomeNativeFunction(int arg1, int arg2);

int result = SomeNativeFunction(10, 20);

Getting Started

To get started with dotnet/coreclr development:

  1. Clone the repository:

    git clone https://github.com/dotnet/coreclr.git
    
  2. Install prerequisites (varies by platform, see repository documentation)

  3. Build the runtime:

    ./build.sh (or build.cmd on Windows)
    
  4. Run tests:

    ./build.sh -test (or build.cmd -test on Windows)
    

For more detailed instructions, refer to the official documentation in the repository.

Competitor Comparisons

11,116

Mono open source ECMA CLI, C# and .NET implementation.

Pros of mono

  • Longer history and more mature codebase
  • Broader platform support, including mobile and game engines
  • More flexible licensing (MIT/X11)

Cons of mono

  • Generally slower performance than CoreCLR
  • Less active development and community support
  • Limited compatibility with newer .NET features

Code Comparison

mono:

public static int Main (string[] args)
{
    Console.WriteLine ("Hello Mono World");
    return 0;
}

CoreCLR:

public static void Main(string[] args)
{
    Console.WriteLine("Hello CoreCLR World");
}

The main differences in the code examples are:

  1. mono's Main method returns an int, while CoreCLR's is void
  2. Slight difference in the output string
  3. mono explicitly returns 0, while CoreCLR doesn't require a return statement

Both implementations achieve similar results, showcasing the compatibility between the two runtimes for basic operations. However, more complex scenarios may reveal differences in performance, available features, or platform-specific implementations.

19,604

JDK main-line development https://openjdk.org/projects/jdk

Pros of jdk

  • Longer history and more mature codebase
  • Wider platform support, including more architectures and operating systems
  • Larger community and ecosystem of third-party libraries

Cons of jdk

  • Generally slower performance compared to CoreCLR
  • More complex codebase due to its long history and broad compatibility
  • Slower release cycle and adoption of new language features

Code Comparison

jdk (Java):

public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}

CoreCLR (C#):

using System;

class Program {
    static void Main(string[] args) {
        Console.WriteLine("Hello, World!");
    }
}

Both examples demonstrate a simple "Hello, World!" program. The Java version uses the System.out.println() method, while the C# version uses Console.WriteLine(). C# syntax is generally considered more concise and modern, reflecting its newer design compared to Java.

CoreCLR's C# also offers features like nullable reference types and pattern matching, which are not available or are implemented differently in Java. However, Java's platform independence remains a significant advantage for certain use cases.

GraalVM CE binaires built by the GraalVM community

Pros of GraalVM CE Builds

  • Supports multiple programming languages (Java, JavaScript, Python, Ruby, R, etc.)
  • Offers ahead-of-time compilation for faster startup and lower memory usage
  • Provides native image generation for creating standalone executables

Cons of GraalVM CE Builds

  • Smaller community and ecosystem compared to CoreCLR
  • Limited support for some Java frameworks and libraries
  • Potentially longer build times when generating native images

Code Comparison

GraalVM CE Builds (Java):

public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}

CoreCLR (C#):

using System;

class Program {
    static void Main(string[] args) {
        Console.WriteLine("Hello, World!");
    }
}

Both examples demonstrate a simple "Hello, World!" program. The main difference lies in the language syntax and runtime environment. GraalVM supports multiple languages, while CoreCLR primarily focuses on .NET languages like C#.

67,285

The Swift Programming Language

Pros of Swift

  • Open-source development with a more community-driven approach
  • Designed for modern app development with a focus on safety and performance
  • Supports multiple platforms including iOS, macOS, and Linux

Cons of Swift

  • Smaller ecosystem and fewer third-party libraries compared to .NET
  • Less mature tooling and IDE support outside of Apple's ecosystem
  • Steeper learning curve for developers coming from C-style languages

Code Comparison

Swift:

func greet(person: String) -> String {
    return "Hello, \(person)!"
}
print(greet(person: "World"))

CoreCLR (C#):

static string Greet(string person)
{
    return $"Hello, {person}!";
}
Console.WriteLine(Greet("World"));

Both examples demonstrate a simple greeting function, showcasing similar string interpolation syntax. Swift uses a more concise function declaration, while C# requires explicit static keyword for top-level functions. Swift's type inference allows omitting the return type in this case, whereas C# requires it. The print statement in Swift is more straightforward compared to C#'s Console.WriteLine.

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Empowering everyone to build reliable and efficient software.

Pros of Rust

  • Memory safety without garbage collection, leading to better performance and lower resource usage
  • Powerful type system and ownership model, preventing common programming errors at compile-time
  • Active and growing community, with frequent updates and improvements

Cons of Rust

  • Steeper learning curve due to unique concepts like ownership and borrowing
  • Longer compilation times compared to CoreCLR
  • Smaller ecosystem and fewer third-party libraries than .NET

Code Comparison

Rust:

fn main() {
    let numbers = vec![1, 2, 3, 4, 5];
    let sum: i32 = numbers.iter().sum();
    println!("Sum: {}", sum);
}

CoreCLR (C#):

using System;
using System.Linq;

class Program {
    static void Main() {
        int[] numbers = { 1, 2, 3, 4, 5 };
        int sum = numbers.Sum();
        Console.WriteLine($"Sum: {sum}");
    }
}

Both examples demonstrate a simple sum operation on a collection of integers. Rust uses iterators and a functional approach, while CoreCLR (C#) leverages LINQ for a concise solution. Rust's ownership model ensures memory safety without garbage collection, while CoreCLR relies on automatic memory management.

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README

Going forward, the .NET team is using https://github.com/dotnet/runtime to develop the code and issues formerly in this repository.

Please see the following for more context:

dotnet/announcements#119 "Consolidating .NET GitHub repos"