Node.js Monorepos: Nx vs Turborepo Compared (2026)

The most surprising thing about monorepos is how much faster they can make your development feedback loop, even for seemingly unrelated projects.

Let’s look at nx and turborepo in action. Imagine a monorepo with two Node.js packages: api and ui.

// packages/api/package.json
{
  "name": "api",
  "version": "1.0.0",
  "dependencies": {
    "express": "^4.18.2"
  },
  "scripts": {
    "build": "tsc",
    "start": "node dist/index.js"
  }
}

// packages/ui/package.json
{
  "name": "ui",
  "version": "1.0.0",
  "dependencies": {
    "react": "^18.2.0"
  },
  "scripts": {
    "build": "react-scripts build"
  }
}

If you change a file in packages/api, say packages/api/src/index.ts, and run nx build api, nx will only rebuild api. If you have a packages/shared-utils that api depends on, and you change a file there, nx will rebuild shared-utils and then api. This is the core of monorepo tooling: understanding and executing only what’s necessary.

Now, compare that with turborepo.

// packages/api/package.json
{
  "name": "api",
  "version": "1.0.0",
  "scripts": {
    "build": "tsc",
    "dev": "node dist/index.js"
  },
  "dependencies": {
    "express": "^4.18.2"
  }
}

// packages/ui/package.json
{
  "name": "ui",
  "version": "1.0.0",
  "scripts": {
    "build": "react-scripts build",
    "dev": "react-scripts start"
  },
  "dependencies": {
    "react": "^18.2.0"
  }
}

If you run turbo run build --filter=api, turborepo will also only build api. The key difference emerges when you consider caching and distributed builds. Both tools leverage task caching based on inputs (source files, dependencies, environment variables). turborepo’s caching is often cited as being particularly robust, especially with its remote caching capabilities that can share build artifacts across CI/CD pipelines and developer machines. nx also offers remote caching, but turborepo’s approach is often seen as simpler to set up and more performant out-of-the-box for many use cases.

The mental model for both is: define your projects, define their build/test/lint tasks, and let the tool orchestrate. They build a directed acyclic graph (DAG) of your project dependencies and tasks. When you trigger a task (e.g., build), they traverse this graph, executing tasks in parallel where possible and respecting dependencies. Caching ensures that if inputs haven’t changed, the cached output is used, saving significant time.

The problem these tools solve is the scaling nightmare of managing many interconnected packages. Without them, you’re left with manual dependency management, inconsistent build processes, and slow feedback loops, especially as the number of packages grows. They bring order, speed, and a unified developer experience to the chaos of a large codebase.

One of the most powerful, yet often overlooked, aspects is how they handle task dependencies beyond simple package imports. For example, you can configure a lint task in nx or turborepo to depend on the build task of another package, ensuring that code is built before it’s linted, or that a specific E2E test task runs only after all relevant services have been successfully built. This allows for fine-grained control over your CI/CD pipeline and local development workflows, creating complex execution chains that are still optimized for speed.

The next step in your monorepo journey will likely involve optimizing for local development with features like remote caching and understanding how to effectively manage inter-package communication.