Wasm3
The fastest WebAssembly interpreter, and the most universal runtime.
Based on CoreMark 1.0 benchmark. Your mileage may vary.
Getting Started
Here's an online demo and a small getting started guide:
Installation
Please follow the installation instructions.
Wasm3 can also be used as a library for:
Python3 │
C/C++ │
GoLang │
Rust │
Zig
Swift │
.Net │
Arduino, PlatformIO, Particle
Status
wasm3
passes the WebAssembly spec testsuite and is able to run many WASI
apps.
Minimum useful system requirements: ~64Kb for code and ~10Kb RAM
wasm3
runs on a wide range of architectures (x86
, x86_64
, ARM
, RISC-V
, PowerPC
, MIPS
, Xtensa
, ARC32
, ...) and platforms:
- Linux, Windows, OS X, FreeBSD
- Android, iOS
- OpenWRT-enabled routers
- Raspberry Pi, Orange Pi and other SBCs
- MCUs: Arduino, ESP8266, ESP32, Particle, ... see full list
- Browsers... yes, using WebAssembly itself!
-
wasm3
can executewasm3
(self-hosting)
post-mvp proposals support
Advanced features and
☐ Multi-value
☐ Bulk memory operations
☐ Reference types
☐ Tail call optimization
☐ Fixed-width SIMD
Motivation
Why use a "slow interpreter" versus a "fast JIT"?
In many situations, speed is not the main concern. Runtime executable size, code density, memory usage, startup latency can be all improved with the interpreter approach. Portability and security are much easier to achieve and maintain. Additionally, development impedance is much lower. A simple library like Wasm3 is easy to compile and integrate into an existing project. (Wasm3 builds in a just few seconds). Finally, on some platforms (i.e. iOS and WebAssembly itself) you can't generate executable code pages in runtime, so JIT is unavailable.
Why would you want to run WASM on microcontrollers?
Wasm3 started as a research project and remains so by many means. Evaluating the engine in different environments is part of the research. Given that we have Lua
, JS
, Python
, Lisp
, ...
running on MCUs, WebAssembly
is actually a promising alternative. It provides toolchain decoupling as well as a completely sandboxed, well-defined, predictable environment. Among practical use cases we can list edge computing
, scripting
, running IoT rules
, smart contracts
, etc.
Used by
Further Resources
Demos
Installation instructions
Build and Development instructions
Supported Hardware
Testing & Fuzzing
Performance
Interpreter Architecture
Logging
Awesome WebAssembly Tools
License
This project is released under The MIT License (MIT)