WebAssembly Component Model Examples

Examples demonstrating the WebAssembly Component Model using rules_wasm_component with Bazel.

Examples

Example	Language	Type	Profiles	Description
//c:hello_c	C	Library	debug, release	Exports greeter interface
//cpp:hello_cpp	C++	Library	debug, release	Exports greeter interface
//go:hello_go	Go	CLI	release	Hello world with TinyGo
//rust:hello_rust	Rust	CLI	-	Hello world CLI component
//rust:calculator	Rust	CLI	-	Arithmetic calculator (8 + 8)
//rust:datetime	Rust	CLI	-	Shows current date/time
//rust:yolo_inference	Rust	CLI + WASI-NN	debug, release	YOLO object detection

Prerequisites

• Bazel 7.0+
• Wasmtime (for running components)
• For YOLO: Wasmtime compiled with ONNX backend support

Build

# Build all examples
bazel build //...

# Build specific example
bazel build //rust:hello_rust
bazel build //rust:yolo_inference_release

Run

Rust CLI Components

# Hello world
wasmtime bazel-bin/rust/hello_rust.runfiles/_main/rust/hello_rust_host.wasm

# Calculator
wasmtime bazel-bin/rust/calculator.runfiles/_main/rust/calculator_host.wasm 8 + 8

# DateTime
wasmtime bazel-bin/rust/datetime.runfiles/_main/rust/datetime_host.wasm

YOLO Object Detection

Requires ONNX model (see models/README.md):

# Download model
curl -L -o models/yolov8n.onnx \
  https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.onnx
mkdir -p models/yolov8n && ln -sf ../yolov8n.onnx models/yolov8n/model.onnx

# Run detection
wasmtime run --dir . -S cli -S nn -S nn-graph=onnx::./models/yolov8n \
  bazel-out/darwin_arm64-fastbuild-ST-*/bin/rust/yolo_inference_wasm_lib_release_wasm_base.wasm \
  ./bus.jpg

Output:

YOLO Object Detection Demo
---------------------------
[1] Loading image...
[2] Loading model...
[3] Preprocessing image...
[4] Creating execution context...
[5] Running inference...
[6] Reading output...
[7] Post-processing...

======================================================
  Results: 5 detections
======================================================
  [ 1] person               87.2% @ pixel (...)
  [ 2] bus                  85.1% @ pixel (...)

Project Structure

.
├── c/                    # C hello world component
│   ├── src/hello.c
│   └── wit/hello.wit
├── cpp/                  # C++ hello world component
│   ├── src/hello.cpp
│   └── wit/hello.wit
├── rust/                 # Rust components
│   ├── src/
│   │   ├── main.rs           # hello_rust
│   │   ├── calculator.rs     # calculator
│   │   ├── datetime.rs       # datetime
│   │   ├── lib.rs            # yolo component entry
│   │   └── yolo_inference.rs # YOLO detection logic
│   └── wit/yolo.wit
├── models/               # ONNX models (download separately)
├── MODULE.bazel          # Bazel module definition
└── BUILD.bazel           # Root build file

Component Types

Library Components (C/C++)

Export custom interfaces that can be composed with other components:

interface greeter {
    greet: func() -> string;
}

world hello-c {
    export greeter;
}

CLI Components (Rust)

Export wasi:cli/run for direct execution with wasmtime:

world yolo-detection {
    import wasi:nn/graph@0.2.0-rc-2024-10-28;
    import wasi:nn/tensor@0.2.0-rc-2024-10-28;
    import wasi:nn/inference@0.2.0-rc-2024-10-28;
    // ... other imports
    export wasi:cli/run@0.2.3;
}

CI/CD

This repository uses GitHub Actions for:

• CI (ci.yml): Builds all components on Linux and macOS, runs Rust CLI tests
• Release (release.yml): Creates signed releases with provenance attestation

Creating a Release

# Tag and push to create a release
git tag v1.0.0
git push origin v1.0.0

The release workflow will:

1. Build all components
2. Sign them with wasmsign2
3. Create a GitHub release with artifacts
4. Generate provenance attestation

License

Apache-2.0