#sandbox #compile #wasm #rust

exers

Library for compiling and running other code in sandboxed environment

2 unstable releases

0.2.0 Jun 2, 2023
0.1.0 May 28, 2023

#2008 in Development tools

Download history 4/week @ 2024-09-23 23/week @ 2024-12-02 45/week @ 2024-12-09

68 downloads per month

MIT license

21MB
1.5K SLoC

Exers 💻

Exers is a rust library for compiling and running code in different languages and runtimes.

Usage example

fn main() {
    // Imports...

    let code = r#"
    fn main() {
        println!("Hello World!");
    }
    "#;

    let compiled_code = RustCompiler.compile(&mut code.as_bytes(), Default::default());
    let result = WasmRuntime.run(&compiled_code, Default::default()).unwrap();
}

Supported languages 📚

Language Supported Runtimes Required Dependencies
Rust Wasm, Native Rustc
C++ Wasm, Native clang++
Python Native python3, Cython (optional)
Java None ---
C# None ---
Go None ---
Ruby None ---

Available runtimes 🏃‍♂️

Runtime Status
WASM Implemented
Native Implemented
Jailed In development, not working
Firecracker Not started
Docker/Podman Not started

Contributing 🤝

If you want to contribute to this project, please keep my code style and formatting. I use rustfmt to format my code. Please also make sure that your code compiles and that all tests pass. If you want to add a new language or runtime, remember to write tests and comment your code well.

Commits should follow the Conventional Commits specification.

Requirements 📋

WASM

If you want to use the WASM runtime, you need to install the wasm32-wasi target for rustc. You can do this by running rustup target add wasm32-wasi.

For C++ you need to install wasi-sdk or other WASI sdk/libc and specify WASI_SDK environment variable to point to the sdk.

Native

Native runtime just requires dependencies for the language you want to use.

Additional features ✨

wasm-llvm

This feature allows you to use the LLVM backend for the WASM runtime. LLVM offers better performance, but has longer compilation times.

cython

This feature allows you to use Cython for the Python runtime. This makes code execution faster, but requires Cython to be installed.

Examples 📄

Examples can be found in the examples directory. To run them, you need to install the required dependencies for the languages you want to use. You can then run the examples with cargo run --example <example_name>.

Dockerfile 🐳

This project contains a Dockerfile that can be used to build a docker image with all the required dependencies for all the languages and runtimes. This image can be used to base your own images on 😄. I'm currently working on minimizing the size of the image (currently about 2GB) and allowing you to choose which languages and runtimes you want to include.

Warning: I've not tested the image yet, so it might not work for some languages and runtimes.

Dependencies

~3–17MB
~262K SLoC