Build Cloudflare Workers using Rust, Python, or WebAssembly for performance-critical operations.

Language Comparison

| Startup | Fast | Fastest (WASM) | Moderate

| CPU Perf | Good | Excellent | Good

| Memory | Higher | Lower | Higher

| Bundle Size | Smaller | Medium | Larger

| Type Safety | Optional (TS) | Strict | Optional

| Best For | General apps | CPU-intensive | Data/ML

Quick Decision

Need maximum performance? → Rust/WASM
Heavy computation (crypto, image processing)? → Rust/WASM
Data processing, ML inference? → Python
General web apps? → JavaScript/TypeScript

Top 10 Multi-Lang Errors

| WebAssembly.instantiate() failed | Rust | Invalid WASM | Check wasm-pack build output

| Module parse failed: Unexpected token | Rust | ESM/CJS mismatch | Use --target bundler

| Cannot find module | Python | Missing dep | Add to pyproject.toml

| Out of memory | All | Large WASM | Enable streaming instantiation

| Exceeded CPU time limit | All | Long computation | Chunk processing

| wasm-bindgen version mismatch | Rust | Dep conflict | Align versions in Cargo.toml

| RuntimeError: unreachable | Rust | Panic in WASM | Add proper error handling

| TypeError: not a function | Rust | Missing export | Add #[wasm_bindgen] attribute

| Python worker startup timeout | Python | Slow init | Minimize imports

| SharedArrayBuffer not supported | All | Security | Add COOP/COEP headers

Rust Quick Start

# Install tools
cargo install wasm-pack

# Create project
cargo new --lib my-worker
cd my-worker

# Add to Cargo.toml
cat >> Cargo.toml << 'EOF'
[lib]
crate-type = ["cdylib"]

[dependencies]
wasm-bindgen = "0.2"
worker = "0.3"
console_error_panic_hook = "0.1"

[profile.release]
opt-level = "s"
lto = true
EOF

// src/lib.rs
use worker::*;

#[event(fetch)]
async fn fetch(req: Request, env: Env, _ctx: Context) -> Result<Response> {
    console_error_panic_hook::set_once();

    Router::new()
        .get("/", |_, _| Response::ok("Hello from Rust!"))
        .get("/compute", |_, _| {
            // CPU-intensive computation
            let result = heavy_computation();
            Response::ok(format!("Result: {}", result))
        })
        .run(req, env)
        .await
}

fn heavy_computation() -> u64 {
    (1..1_000_000).filter(|n| is_prime(*n)).count() as u64
}

fn is_prime(n: u64) -> bool {
    if n < 2 { return false; }
    (2..=(n as f64).sqrt() as u64).all(|i| n % i != 0)
}

Python Quick Start (Workers for Platforms)

# pyproject.toml
[project]
name = "my-worker"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = []

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

# src/entry.py
from js import Response, Headers

async def on_fetch(request, env):
    url = request.url

    if "/compute" in url:
        result = heavy_computation()
        return Response.new(f"Result: {result}")

    return Response.new("Hello from Python!")

def heavy_computation():
    """CPU-intensive computation"""
    return sum(1 for n in range(2, 100000) if is_prime(n))

def is_prime(n):
    if n < 2:
        return False
    return all(n % i != 0 for i in range(2, int(n**0.5) + 1))

WASM Module Integration

// Load and use WASM module in TypeScript Worker
import wasmModule from './pkg/my_lib_bg.wasm';
import { init, process_data } from './pkg/my_lib';

let wasmInstance: WebAssembly.Instance;

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Initialize WASM once
    if (!wasmInstance) {
      wasmInstance = await WebAssembly.instantiate(wasmModule);
      init();
    }

    // Use WASM function
    const result = process_data(inputData);

    return Response.json({ result });
  },
};

When to Load References

| references/rust-workers.md | Building Workers with Rust/WASM

| references/python-workers.md | Using Python on Workers for Platforms

| references/wasm-integration.md | Integrating WASM modules in any Worker

Performance Tips

WASM Initialization: Cache instance, use streaming
Memory: Use typed arrays for data transfer
Bundle Size: Enable LTO, strip debug info
Cold Starts: Keep WASM modules small
Data Transfer: Minimize JS/WASM boundary crossings

workers-multi-lang

安装