coreclr
CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.
Top Related Projects
Mono open source ECMA CLI, C# and .NET implementation.
JDK main-line development https://openjdk.org/projects/jdk
GraalVM CE binaires built by the GraalVM community
The Swift Programming Language
Empowering everyone to build reliable and efficient software.
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:
- Configuring garbage collection:
using System.Runtime;
GCSettings.LargeObjectHeapCompactionMode = GCLargeObjectHeapCompactionMode.CompactOnce;
GCSettings.LatencyMode = GCLatencyMode.LowLatency;
- Using hardware intrinsics:
using System.Runtime.Intrinsics.X86;
if (Avx2.IsSupported)
{
// Use AVX2 instructions for optimized performance
Vector256<int> result = Avx2.Add(vector1, vector2);
}
- 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:
-
Clone the repository:
git clone https://github.com/dotnet/coreclr.git
-
Install prerequisites (varies by platform, see repository documentation)
-
Build the runtime:
./build.sh (or build.cmd on Windows)
-
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
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:
- mono's
Main
method returns anint
, while CoreCLR's isvoid
- Slight difference in the output string
- 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.
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#.
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 $"Hello, {person}!";
}
Console.WriteLine(Greet("World"));
Both examples demonstrate a simple greeting function, showcasing similar string interpolation syntax. Swift uses a more concise function declaration, while C# requires explicit static keyword for top-level functions. Swift's type inference allows omitting the return type in this case, whereas C# requires it. The print statement in Swift is more straightforward compared to C#'s Console.WriteLine.
Empowering everyone to build reliable and efficient software.
Pros of Rust
- Memory safety without garbage collection, leading to better performance and lower resource usage
- Powerful type system and ownership model, preventing common programming errors at compile-time
- Active and growing community, with frequent updates and improvements
Cons of Rust
- Steeper learning curve due to unique concepts like ownership and borrowing
- Longer compilation times compared to CoreCLR
- Smaller ecosystem and fewer third-party libraries than .NET
Code Comparison
Rust:
fn main() {
let numbers = vec![1, 2, 3, 4, 5];
let sum: i32 = numbers.iter().sum();
println!("Sum: {}", sum);
}
CoreCLR (C#):
using System;
using System.Linq;
class Program {
static void Main() {
int[] numbers = { 1, 2, 3, 4, 5 };
int sum = numbers.Sum();
Console.WriteLine($"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.
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
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:
Top Related Projects
Mono open source ECMA CLI, C# and .NET implementation.
JDK main-line development https://openjdk.org/projects/jdk
GraalVM CE binaires built by the GraalVM community
The Swift Programming Language
Empowering everyone to build reliable and efficient 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