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virgil: A Fast and Lightweight Systems Programming Language

def main() {
    System.puts("Virgil is fast and lightweight!\n");
}

Virgil is a programming language designed for building lightweight high-performance systems. Its design blends functional and object-oriented programming paradigms for expressiveness and performance. Virgil's compiler produces optimized, standalone native executables, WebAssembly modules, or JARs for the JVM. For quick turnaround in testing and debugging, programs can also be run directly on a built-in interpreter. It is well-suited to writing small and fast programs with little or no dependencies, which makes it ideal for the lowest level of software systems. On native targets, it includes features that allow building systems that talk directly to kernels, dynamically generate machine code, implement garbage collection, etc. It is currently being used for virtual machine and programming language research, in particular the development of a next-generation WebAssembly virtual machine, Wizard.

This repository includes the entire compiler, runtime system, some libraries, tests, documentation and supporting code for Virgil's various compilation targets.

Language Design

Virgil focuses on balancing these main features in a statically-typed language:

For more, read this paper. Or see the tutorial. Or read up on libraries.

Supported Targets

Virgil can compile to native binaries for Linux or Darwin, to jar files for the JVM, or to WebAssembly modules. Linux binaries can run successfully under Windows using Window's Linux system call layer. The compiler is naturally a cross-compiler, able to compile from any supported platform to any other supported platform, so you need only be able to run on one of these platforms in order to target any of the others.

Implementation

Virgil is fully self-hosted: its entire compiler and runtime system is implemented in Virgil. It was originally designed as a language for embedded systems, particularly microcontrollers, but now supports more mainstream targets. The compiler includes sophisticated whole-program optimizations that achieve great performance and small binaries. Native binaries compiled from your programs can be as small as a few hundred bytes in size and consume just kilobytes of memory at runtime. You can learn more in the Implementation Guide.

Documentation

The most up-to-date documentation is, as always, this repository! Learn how to get started using Virgil and browse the tutorial, where many example programs exist.

Research Papers

Six research papers have been published on Virgil.

License

Licensed under the Apache License, Version 2.0. (rt/LICENSE or https://www.apache.org/licenses/LICENSE-2.0)